What is subscription fatigue?

Subscription fatigue refers to consumers’ deteriorating interest in a subscription or service, resulting in their cancellation. This is often due to feeling overwhelmed by their numerous subscriptions or losing sight of the value each subscription brings. It goes hand-in-hand with churn, where uncertainty, mental exhaustion and subscription overload leads to diminished satisfaction with the subscription experience.  

What is causing subscription fatigue? 

With the ever-increasing number of subscriptions consumers have, decision overload is inevitable. Mounting costs, managing multiple accounts and the pressure to maximise each subscription all contribute to declining satisfaction. When value is unclear, questioning a subscription’s worth surfaces. 
 
Value must therefore be constantly reiterated and subscriptions models must be flexible enough to meet consumers’ unique needs. Signs of fatigue must be identified early on and actions to mitigate fatigue must be taken.  
 
CACI understands the challenge: people want convenience and personalisation, but they also want affordability and control. 

Over-subscription

Subscribing to and managing multiple subscriptions can be mentally draining. The simple fix in consumers’ minds is typically to unsubscribe, even if the service itself is not the problem.

Inability to reinforce value

If consumers feel that they are paying for a service they do not use, the feeling will quickly lead to subscription fatigue. When it comes to subscriptions, low perceived value or service underutilisation are often the driving factors behind cancellations. If value cannot be demonstrated, even your most loyal subscribers may be lost.

Lack of flexibility

When feelings of frustration or overwhelm creep up among the plethora of subscriptions a consumer has, offerings that do not feature flexibility are likely the first to go. Rigid plans will not appeal to already-fatigued consumers. If subscribers feel as though they maintain control over their subscription, they will be easier to retain and keep satisfied. Establishing tiered memberships, flexible pricing, pause options, add-ons or various payment plans can help rectify this.  

How can brands fight subscription fatigue? 

Subscription fatigue may be inevitable within an oversaturated subscription landscape, but understanding the origin of fatigue and the strategies that your organisation can implement to combat this will make a tremendous difference. Leveraging predictive modelling, customer insights and data and segmentation are among the most effective approaches.

Use predictive modelling

AI-driven predictive models forecast customer behaviours and guide the next best actions. Proactive retention and upsell strategies can therefore be developed, resources can be prioritised towards customers with the highest potential and a measurable performance uplift can be seen in metrics like LTV, conversion and engagement. 

Focus on customer insights 

By integrating transactional, behavioural, attitudinal and external data, CACI helps you attain a comprehensive view of your subscribers that will improve your decision-making across acquisition, retention and product development. 

These insights help you:

• Build strategic confidence by grounding it in real customer behaviour  
• Identify high value customers 
• Understand churn drivers 
• Uncover growth opportunities 
• Benchmark performance against your competitors 
• Better understand your position within the market  
• Spot underperforming segments or categories where competitors are gaining share

Grounding strategic decisions in external evidence also improves internal storytelling and stakeholder alignment. 

Focus on acquisition through segmentation

Poor segmentation drains budget by targeting low-value audiences. Without precise targeting, campaigns miss the mark and media mix decisions lack data-driven optimisation.  

CACI’s bespoke segmentation capabilities give you intuitive, data-rich segments reflective of the diversity of your customer behaviours, values and attitudes. This enables personalised marketing and CRM journeys, enhances media targeting and campaign ROI and bolsters strategic planning by revealing which segments to grow, retain or re-engage across three core areas: 

• Data: Curated, high-quality foundational data with diverse input lenses and no personally identifiable information (PII).  
• Segment simulation and validation: Segment-level data layer, validation to assess predictive accuracy with guardrails in place and performance audited.  
• Persona enhancement: Defined by segment characteristics and enriched with psychological and behavioural traits, every step is tested by experts to ensure it is structured, auditable and iterative.

Through this tailored approach, CACI equips you with segmentation that reflects your customers, leading to better decision-making, campaigns and long-term growth.

How CACI can help you overcome subscription fatigue

CACI helps subscription brands unlock growth by transforming fragmented customer data into actionable insight. Through advanced data science and AI-powered decisioning, we support acquisition, retention and personalisation at scale. 
 
We can help you:

• Build deeper customer understanding and target the right audiences 
• Forecast behaviour, improve retention and justify investment 
• Turn insights into action across media and CRM 
• Simplify data and bridge capability gaps

To find out more about how your organisation can successfully overcome subscription fatigue, get in touch with us.

What is subscription churn?

Subscription churn refers to the number of subscribers or customers that stop their subscription with your organisation within a specific period, measured against the overall customer base. Churn can be interpreted in several ways and organisations may have their own method of calculating churn depending on what suits them. However, the principle remains the same: churn shows how effectively you retain customers. 

A high churn rate means that customer retention may present difficulties, whereas a low churn rate is indicative of successful retention. 

Why is churn important in the subscription sector?

Subscriptions have embedded themselves into consumer behaviour, with 4 in 5 UK adults now signed up for at least one subscription service and nearly one-third subscribed to a subscription box delivery service. While this shows how appealing the convenience of subscriptions is, cost is a key barrier. As the cost of living rises, subscriptions are often the first thing customers look to cancel. 

In the subscription sector, churn directly affects revenue predictability, customer acquisition, lifetime value (LTV), growth and brand reputation. Even small churn rises can lead to longer-term financial instability. Understanding churn is therefore essential to uphold customer and subscriber satisfaction and retention. 

Types of customer churn

To mitigate churn, organisations must distinguish between its two types: voluntary and involuntary. Each provides a unique lens on customer behaviour and organisational performance, also requiring their own prevention and combative methods. 

Voluntary churn

Voluntary churn is when customers choose to end their relationship with a service or product. These are instances when they no longer recognise a service’s value, have opted for a competitor’s service, can no longer afford the service or other considerations.

Involuntary churn

Involuntary churn happens when customers unintentionally end their subscription with a service due to reasons beyond their control. Financial pressures are one of the most substantial driving forces behind churn, especially for discretionary spend on products that are optional rather than essential. 

Average churn rates for subscription sector

Customer churn can be expected to an extent but determining the amount of churn that your organisation can withstand and the maximum length of time in which losses can be made up will be critical for long-term growth. 
 
Churn rates also vary by customer segments. Through Acorn, our geodemographic segmentation, we found that younger Acorn groups like Tenant Living might avoid long-term subscriptions as cost is a hugely influential factor in their circumstances. Customers within Acorn’s Commuter Belt Wealth group might enjoy the convenience of subscriptions, but busy and irregular schedules can complicate commitment. We also found that subscription drop-off after discount periods is common across different segments. 
 
By recognising these behavioural differences, your subscriber retention strategies can be more effective.

Subscription churn reduction

To counter the effects of churn, organisations may turn to offering incentives that attract price-sensitive customers who churn post-offer. While this may remedy the situation to an extent, the following approaches will bolster your understanding and reduction of churn by combining proactive and reactive strategies with data. 

Bespoke segmentation

Poor segmentation leads to wasted budget on low-value audiences. Campaigns miss the mark without precise targeting and media mix decisions lack data-driven optimisation. 

CACI’s bespoke segmentation capabilities enable you to create intuitive, data-rich segments reflective of the diversity of your customer behaviours, values and attitudes. This powers personalised marketing and CRM journeys, improves media targeting and campaign ROI and supports strategic planning by revealing which segments to grow, retain or re-engage in three capacities:

• Data: Curated, high-quality foundational data with diverse input lenses and no personally identifiable information (PII). 
• Segment simulation and validation: Segment-level data layer, validation to assess predictive accuracy with guardrails in place and performance audited. 
• Persona enhancement: Defined by segment characteristics and enriched with psychological and behavioural traits, every step is tested by experts to ensure it is structured, auditable and iterative.

Predictive modelling

Through predictive modelling, AI-driven models forecast customer behaviours and guide the next best actions. This enables proactive retention and upsell strategies, prioritises resources towards customers with the highest potential and drives measurable performance uplift in metrics like LTV, conversion and engagement. 

Customer insights

CACI’s data offers a holistic view of customers that helps organisations better understand churn drivers. Customer insights are divided among: 

Core demographics

• Affluence 
• Disposable income 
• Age band 
• House size 
• Occupation 
• Number of children

Key behaviours

•  Price sensitivity 
• Loyalty 
• Motivated by premium/value 
• Convenience 
• Environmental attitudes

Digital behaviours

• Posts/reads ratings & reviews 
• Social networks 
• Influencers 
• Newspaper & magazines read

Brand engagement

• Websites visited 
• Loyalty cards 
• TV channels 
• Newspapers 
• Streaming sites 
• Magazines

An understanding of customers’ lifestyles is enriched through additional layers of their interests and hobbies, lifestyle attitudes and shopping behaviours. For subscription brands, this reveals not just who your customers are, but why they subscribe. Our insights showed that customers tend to be mindful of ethical and environmental issues and are concerned about their online security. They also tend to focus on provenance when it comes to shopping, considering where products are made/grown, the value they place on quality goods and those that make life easier. These motivations influence a subscription’s perceived value, a customer’s loyalty to a subscription and brand and what may sway their thought process in terms of staying or cancelling. 
 
Through this holistic view, you can also benchmark your organisation’s performance against competitors to gain a clear view of market position and competitive dynamics. This helps you understand where you stand in the market, who you are winning with, where you are losing and why. It identifies underperforming segments or categories where competitors are gaining share, enabling focused interventions. It also supports internal storytelling and stakeholder alignment by backing up strategic decisions with external evidence.

How CACI can help you navigate churn reduction

CACI helps retail subscription brands unlock growth by transforming fragmented customer data into actionable insight – driving acquisition, retention and personalisation at scale through advanced data science and AI-powered decisioning. 
 
We can support you in:

• Building deeper customer understanding and targeting the right audiences 
• Forecasting behaviour, improving retention and justifying investment 
• Turning insights into action across media and CRM 
• Simplifying data and bridging capability gaps

To find out more about how your organisation can successfully navigate churn reduction and strengthen customer loyalty, get in touch with us. 

New acquisition for CACI to strengthen data migration capability

CACI Limited, a leading data and technology solutions company, has acquired Datalynx Limited (“Datalynx”).

Datalynx provides specialist data and cloud migration services in mission-critical environments to government clients, including the Home Office. Tracy Weir, CEO of CACI in the UK comments:

“We’re delighted to welcome Datalynx and their exceptionally talented leadership and team to our business. Their important position in the Home Office, particularly with the Police, is a testament to both their capability and calibre. We have common core values and a shared culture – a collaborative way of working, a focus on solving real-world problems and a passion for deploying the best and most secure data solutions for our clients. Fred and his team are a perfect fit and an important addition to our Government and Public Sector business.”

Fred Keeling, Managing Director of Datalynx adds:

“Joining forces with CACI gives us more power, resources and support to provide scalable, adaptive solutions to organisations of national importance. We’re excited about the potential for growth, innovation and to deepen our reputation, under the CACI banner, of delivering industry-leading data and cloud migration services in highly secure environments that work for the safety, security and prosperity of the UK.”

About CACI Limited

CACI Ltd is a wholly owned subsidiary of CACI International Inc. Headquartered in London with offices around the UK, Europe, and India, we support government and commercial customers in transforming their businesses by bringing together the power of people, data, and technology. With over 1,600 employees, we are passionate, progressive, and welcome a challenge. Our purpose is to use our specialist skills, technology and data-driven insight to provide expert solutions that truly deliver for our customers.

www.caci.co.uk

About Datalynx

Datalynx is one of the UK’s leading independent data management specialists, with a comprehensive service offer in data migration – from planning through to build, test and compliance. Originally founded by Charlie Spinks in 2002, Datalynx has established excellent processes and frameworks to provide its high profile customers with a service which is secure, efficient and consistent. As a collaborative team from a diverse range of backgrounds Datalynx keeps the values of honesty, integrity, trust and value at the heart of our delivery proposition.  

www.datalynx.net

In my first blog of this two-part series, I broke down the five automation metrics and principles I rely on most to help leadership demonstrate value. This second blog builds on that thinking. In my e-book, ‘Network automation in 2026: building resilience, assurance and future-ready networks’, I explained that one of the biggest challenges that network and operations leaders face today is making every change safe. 

Automation is not just about efficiency, but maintaining control within modern networks that are dynamic, distributed and tightly-connected to cloud platforms and third-party services. While automation is essential, speed without control creates risk. By unifying the three capabilities of assurance, observability and lifecycle management, it becomes possible to execute network changes in a safe and repeatable way.

Assurance: Validate before and after every change

For me, assurance is the foundation. Validate every change is safe and compliant before it goes live, then confirm it behaves as intended after deployment. Continuous validation before and after every change is now expected, helping to ensure changes are safe and compliant. Streaming telemetry and service mesh architectures provide real-time visibility, making it easier to spot issues and respond quickly

How to implement assurance:

• Define policies as code and embed them in your pipeline. 
• Run intent checks to catch misconfiguration and drift early. 
• Use change windows that include automated validation and safe rollback paths.

Outcome: Fewer failed releases and emergency fixes and better audit outcomes because evidence is generated as part of normal work. 

Observability: Real insight from streaming telemetry

In my first blog, I covered MTTR and MTTD with the time it takes you to detect issues and restore normal service. Observability is what drives this. Move beyond static, device-centric health checks to provide continuous visibility across paths, services and users.

How to implement observability: 

• Stream telemetry from network and edge assets into a common model. 
• Use service mesh patterns where appropriate to trace requests end-to-end. 
• Align dashboards to service objectives, not individual devices. 

Outcome: Faster detection, clearer root cause and performance data that stakeholders can actually trust. 

Lifecycle management: Remove tech debt as you modernise

Teams often try to automate on top of legacy risks. Lifecycle management prevents that. You plan upgrades, renewals and retirements proactively to prevent new changes from piling risk onto legacy.

How to implement lifecycle management: 

• Maintain an accurate inventory and map controls to business risk. 
• Standardise on reference designs that are easier to secure and support. 
• Budget for renewal and decommissioning alongside new projects. 

Outcome: Lower exposure, simpler operations and a platform that adapts as the business evolves. 

How to implement a safe automation framework

To bring assurance, observability and lifecycle management together for safe automation, I recommend organisations consider the following best practices:  

1. Start with responsibility: Assign clear owners for providers and controls. Everyone should know who approves what. 
2. Use reference designs: Build simple patterns that map known threats to specific controls, then reuse them. 
3. Automate safely: Codify configuration and policy, prevent drift and escalate recovery with tested rollbacks. 
4. Adopt Zero Trust: Assume breach, verify access and enforce least privilege across sites and clouds. 
5. Strengthen monitoring: Track performance, changes, access and compliance in one place. 
6. Keep governance practical: Set standards that teams can follow, measure them and iterate. 

What to measure

To make progress visible and defensible, you can refer back to the core metrics from my e-book and previous blog:  

• Change success rate and rollback avoidance 
• MTTR and MTTD
• Compliance score and drift
• Latency and packet loss against service objectives.

These metrics will help you determine whether your automation is actually making change safer.  

Two quick wins for the first 30 days

If you want to quickly build momentum, I recommend: 

• Pre-change validation on one high-traffic service: Add automated checks for policy compliance and performance impact, then track the effect on change success rate. 
• Drift detection with weekly remediation: Choose a critical domain, enable drift alerts and close gaps to raise your compliance score. 

Where SD-WAN and SASE fit

At the edge, SD-WAN and SASE extend consistent policy and observability to every site. They simplify operations, support identity-led access that aligns to Zero Trust and reduce risks from technical debt and legacy systems so networks can adapt securely as business needs evolve. 

How we can help

In my work with clients, I see the same challenge time and again: network change needs to move faster, but it also needs to be safer and more predictable. At CACI, we help organisations bring structure, visibility and governance to complex networks so change can happen with confidence. 

We support teams in putting practical assurance and observability in place, improving lifecycle management and reducing configuration drift, without slowing delivery. That means fewer regressions, clearer accountability and a more predictable change pipeline.
 
If you’d like to explore how this approach could work in your environment, visit our Network Automation page to start the conversation with our specialists. 
 
You can also download my new Network Automation in 2026 eBook for a deeper dive into how assurance and automation work together to build resilient, future-ready networks. 

In my new e-book ‘Network automation in 2026: building resilience, assurance and future-ready networks’, I uncover how network automation is no longer just about speed, but about reducing operational risk, strengthening compliance and stabilising services when the unexpected strikes. To meet the expectations of leadership, network automation must clearly demonstrate its ability to deliver on outcomes.  

This first blog in a two-part series breaks down five automation metrics and principles I rely on to help advise leadership: practical, executive-friendly and aligned to how boards evaluate resilience, risk and customer experience.

1. Change success rate and rollback avoidance 

What it is: This is the proportion of changes that complete as planned without causing incidents or requiring rollback. 
Why it matters: In my experience, this is one of the fastest ways to prove to leadership that automation is about increasing safety and predictability, not just throughput. 

How to improve:  

• I always begin with applying pre-change validation, policy gates and standardised reference designs that map controls to threats with simple, repeatable patterns. These give teams simple, repeatable patterns that map controls to threats. 
• Instrument your pipelines to capture change outcomes automatically.
• Assign clear ownership to execute each change and align teams.  

What good looks like: A steady rise in successful, first-time changes and a consistent fall in rollbacks over consecutive release cycles. 

2. Mean time to detect (MTTD) and mean time to repair (MTTR)

What it is: The time it takes you to detect issues and restore normal service. 
Why it matters: I find that detection and recovery are very important for leadership, especially because automation and observability deliver measurable business value. 

How to improve:  

• Stream all of your telemetry into a single view, then use intent checks to highlight drift or policy violations and automate first line remediation where safe.  
• Strengthen monitoring by tracking network performance, changes, access, compliance and security events.

What good looks like: Faster detection windows followed by runbook-driven recovery that is measured in minutes, not hours.

3. Compliance score and configuration drift

What it is: A combined indicator of how closely your estate aligns to policy and how far it strays from approved configurations. 
Why it matters: Boards and auditors need confidence that controls are enforced consistently across hybrid estates. 

How to improve:  

• Treat policies as code and run continuous checks.  
• Block non-compliant changes before they land.  
• Generate audit evidence automatically to save a huge amount of time.  
• Keep governance practical by setting clear standards, control owners and measurable policies. 

What good looks like: A rising compliance score with drift trending down. Exceptions are documented and time-boxed. 

4. Alert volume reduction

What it is: A measure of how many alerts actually correlate to meaningful incidents. 
Why it matters: High alert volume hides real risk and drains team capacity. 

How to improve:  

• Consolidate tooling, de-duplicate at the source, only measuring what maps to user or service objectives.  
• Safely automate by applying Infrastructure as Code and Policy as Code to prevent drift and speed up recovery.

What good looks like: Fewer alerts, higher signal quality and a clear link between alerts and customer impact. 

5. Latency and packet loss against service objectives

What it is: End-to-end performance measured against the targets that matter most for your services. 
Why it matters: User experience is the ultimate goal. Device health means little if transactions stall. 

How to improve:  

• Set service-level objectives (SLOs) for your priority journeys, instrument path visibility and factor network changes into performance reviews.  
• Adopt Zero Trust principles to assume breach, verify access and enforce least privilege.  

What good looks like: Stable or improving latency and loss for your top services, even during high change periods. 

How to get started 

I recommend teams start small when adopting these metrics, but take the following into consideration: 

1. Select two high impact metrics that you can measure today. 
2. Automate the collection and reporting so data is timely and trusted.
3. Share a simple scorecard with trend lines and short commentary.
4. Only add more metrics when the first set is stable. 

How we can help

In my work with CIOs, one of the biggest challenges I see is turning network automation into something that’s measurable, governed and trusted. At CACI, we help organisations align automation with business goals, reduce operational risk and create real clarity around performance and compliance. 

We bring proven architectures, practical operating models and clear measurement frameworks, so teams can track success rates, reduce configuration drift and improve incident response. We also help teams build simple, outcome focused scorecards that connect day-to-day network activity to executive priorities. 

If you’d like support establishing a metrics baseline or shaping an automation roadmap around the principles in this blog, visit our Network Automation page to learn more or get in touch with our specialists. 

You can also download my Network Automation in 2026 eBook for a deeper look at the frameworks and metrics that high performing organisations are using today. 

In the next blog in this series, I’ll explore how assurance, observability and lifecycle management work together to make every network change safe. 

Refactoring in cloud migration means making significant architectural and code-level changes to an existing application to optimise it for cloud environments. Instead of simply lifting and shifting a workload, refactoring restructures it to use cloud native services such as managed databases, containers, microservices or serverless computing. 

Common migration patterns include rehosting, re-platforming, refactoring, rebuilding or replacing. Refactoring sits in the middle of the modernisation scale, keeping the core application but improving internal structure, removing legacy dependencies, updating frameworks and unlocking new capabilities. 

This approach is growing in adoption, with a large percentage of enterprises now combining cloud migration with application modernisation to remain competitive. When done well, organisations can reap substantial benefits of refactoring from cloud elasticity and faster development to improved resilience and long-term cost efficiency, which this blog uncovers. 

Benefits of refactoring in cloud migration

Refactoring requires investment, but the long-term gains are often significant. In doing so, organisations can gain: 

Improved scalability and performance

By adapting applications to use cloud native components such as container orchestration, managed databases or asynchronous workloads, organisations can achieve higher performance and better resilience under load. 

Reduced long-term costs

Although refactoring may increase migration effort, it often leads to lower operational costs. Cloud-native services offer auto-scaling, pay-per-use pricing and more efficient resource consumption. Over time, this results in better financial performance than traditional lift-and-shift. 

Faster delivery and innovation

Refactored applications are usually more modular and easier to update. This supports continuous deployment, quicker releases and faster time to market, which are ideal for product teams and digital delivery. 

Lower technical debt and easier maintenance

Refactoring replaces old libraries, removes legacy components and reduces complexity. This improves stability and simplifies systems for engineering teams to maintain and enhance. 

Stronger security and compliance

Modern cloud architectures embed identity management, encryption, monitoring and audit controls. This makes it easier to meet regulatory requirements and improve security posture.

Future-readiness and flexibility

Refactored solutions adapt more easily to new technologies, cloud services and business requirements. They are better positioned for AI integration, data platform modernisation and future cloud strategies. 

Challenges of refactoring in cloud migration

Refactoring is one of the more advanced cloud migration strategies, which lends itself to complications. Some of the challenges to be aware of include: 

Higher upfront effort and cost 

Refactoring requires redesigning and rewriting parts of the application. This means more time and investment compared to rehosting or re-platforming. 

Complex transformation risk

Innate changes to architecture may introduce new bugs or operational risk. Without careful planning, live services may face disruption during cutover. 

Legacy constraints and dependencies

Some applications are tightly coupled or built on outdated frameworks, which makes refactoring more time consuming. Legacy systems may require major rework before they are cloud-ready. 

Risk of cloud provider lock-in

Cloud-native services offer significant value, but can complicate multi-cloud strategies. Organisations must balance innovation with portability requirements. 

Cloud skill gaps across teams 

Refactoring requires cloud architecture expertise, software engineering capability, DevOps skills and updated security practices. Many organisations are still building on skills in these areas. 

Delayed return on investment

Refactoring benefits increase over time. Stakeholders may expect instant cost savings, which can create pressure if results take longer to appear. 

Best practices for cloud migration refactoring

Refactoring is most successful when approached with structure and clarity. The following best practices can help reduce risk and improve outcomes: 

1. Carry out a complete application assessment

Review application dependencies, integrations, data flows, technical debt, scalability and risk. This helps map the complexity of the estate and segment workloads based on refactoring suitability. 

2. Prioritise the right applications

Focus refactoring on high-value workloads such as customer facing services, highly scaled systems or applications requiring innovation. Avoid refactoring low-value or soon-to-be-retired solutions. 

3. Create a clear business case and measurable KPIs

Define long-term success: improved performance, cost efficiency, error reduction, increased release frequency or reduced maintenance overhead. Tie each refactoring decision to a measurable outcome. 

4. Adopt cloud native architecture patterns

Use microservices, event-driven design, serverless functions, containers, managed data services, API gateways and infrastructure as code. CACI’s Cloud Engineering and Implementation Services helps organisations effectively adopt this. 

5. Embed security and governance from the beginning

Security must not be retrofitted. Implement identity and access management, encryption, logging, monitoring, network controls and compliance checks early.  

6. Invest in skills and organisational readiness 

Support DevOps adoption, cloud architecture upskilling and platform engineering capabilities. Consider establishing a cloud centre of excellence.  

7. Deliver refactoring in waves

Avoid large, risky transformations. Move applications into the cloud in phases: pilot, assessment, refactor, migrate, validate and optimise. This will reduce risk and increase confidence. 

Cloud migration with CACI

Refactoring during cloud migration can unlock scalability, performance, agility and long-term cost savings. However, success depends on having the right expertise, governance, cloud architecture and migration strategy. 

CACI helps organisations design and deliver modern cloud solutions through its 
Cloud Engineering and Implementation Services, including:  

• Cloud readiness assessments 

• Refactoring planning 

• Modernisation frameworks 

• Cloud native delivery. 

We also provide Platform Migration for complex legacy estates and Solution Implementation to build secure, scalable platforms for modern applications. 

If you are planning to refactor applications for cloud or considering a modernisation strategy, get in touch with us to find out how CACI can help you achieve scalable, secure and cost-effective results. 

Cloud migration has become essential for organisations modernising their digital services, but the process can quickly become complex, costly and slow when not guided by a clear structure. Studies consistently show that cloud transformations fail when organisations lack visibility, governance and coherent decision-making.  

Enterprise architecture solves these challenges by aligning business strategy, technology, data and operations around a unified migration plan. It provides the frameworks, roadmaps and governance needed to move to the cloud in a controlled, secure and cost-efficient way. It offers teams a clear view of what to migrate, when to migrate it and how to deliver the business outcomes expected from cloud. 

In this blog, we explore how enterprise architecture supports cloud migration, the capabilities it provides and how organisations can use it to deliver faster, safer and more value-driven cloud programmes. 

What enterprise architecture means in cloud migration

Enterprise architecture helps businesses understand how their capabilities, applications, data flows and technology platforms fit together so they can smoothly transition to the cloud. It offers clarity across four core areas: 

• What systems exist today 
• How they connect and depend on each other 
• How the future cloud architecture should operate 
• Which steps are needed to migrate safely and incrementally. 

Without this context, cloud migration can lead to performance problems, security gaps, cost overruns and delays. Enterprise architecture provides the visibility and alignment needed to avoid these issues. 

Resources such as the Microsoft Cloud Adoption Framework reinforce the importance of architectural foundations, landing zones, security baselines and governance when preparing for cloud migration at enterprise scale. 

Why enterprise architecture is essential for cloud migration

Enterprise architecture enhances cloud migration across strategic, operational and technical dimensions through: 

1. Complete visibility across the application estate

Large organisations often lack a single view of their systems, making cloud migration risky. Enterprise architecture documents: 

• Application inventories 
• Dependencies 
• Data flows 
• Integration patterns 
• Infrastructure and hosting 
• Business criticality. 

This visibility prevents migrations that break key services or overlook important interdependencies. 

2. Prioritisation of workloads for migration

Enterprise architecture identifies which workloads should be: 

• Rehosted 
• Re-platformed 
• Refactored 
• Replaced 
• Retired

This prevents wasted effort on low value systems and accelerates value by prioritising high impact workloads. 

3. Defining target cloud architecture

A well-defined cloud architecture reduces long term cost, improves resilience and accelerates delivery. Enterprise architecture establishes: 

• Cloud landing zones 
• Identity and access management 
• Networking and security models 
• Platform engineering standards 
• Data and integration architecture. 

Cloud providers such as the AWS Well Architected Framework outline best practices that support this approach to achieve secure, efficient and reliable cloud environments. 

4. Strategic alignment to business priorities

Enterprise architecture ensures cloud migration is linked to business priorities, including: 

• Resilience 
• Cost optimisation 
• Customer experience 
• Regulatory compliance 
• Agility and innovation 
• Sustainability targets. 

This turns migration into a strategic programme, not just a technical activity.

5. Strong governance and decision-making 

Enterprise architecture establishes guardrails that: 

• Remove duplication 
• Enforce tagging and cost allocation 
• Standardise cloud patterns 
• Improve design quality 
• Ensure compliance with organisation wide standards. 

Frameworks like the Open Group’s TOGAF standard support consistent enterprise architecture governance across the organisation. 

6. Better risk management and security

Enterprise architects plan for: 

• Secure landing zones 
• Identity and access control 
• Encryption and data residency 
• Compliance requirements 
• Resilience and disaster recovery. 

Guidance such as the NCSC cloud security collection strengthens these architectural decisions and helps organisations adopt secure cloud services. 

7. Cost control and value realisation

Enterprise architecture is crucial for cloud cost optimisation because it defines efficient architectures that avoid waste. It supports: 

• Rightsizing decisions 
• Refactoring choices 
• Lifecycle governance 
• FinOps alignment 
• Workload placement strategies. 

This ensures cloud spend remains predictable and aligned with business value. 

Key enterprise architecture practices that accelerate migration

1. Portfolio assessment and rationalisation

Enterprise architecture evaluates: 

• Application value 
• Lifecycle stage 
• Fitness for cloud 
• Risk and complexity 
• Technical debt. 

This prevents migrating applications that should be modernised, consolidated or retired instead. 

2. Cloud readiness assessments

Readiness assessments evaluate: 

• Code quality 
• Performance and scalability needs 
• Security posture 
• Compliance requirements 
• Integration and data dependencies. 

These insights inform accurate migration strategies and help teams choose the right approach. 

3. Target state cloud architecture

Enterprise architecture defines the target state, including: 

• Cloud landing zones 
• Identity, access and network architecture 
• Platform engineering 
• Observability and logging 
• CI/CD pipelines 
• Automation standards. 

This ensures consistency across all migration waves. 

4. Business capability alignment

By mapping applications to business capabilities, enterprise architecture ensures migration aligns with organisational goals and modernises the areas that deliver the most value. 

5. Modern data and integration architecture

Cloud migration requires robust integration design. Enterprise architecture helps define: 

• API-first approaches 
• Event-driven architecture 
• Hybrid integration 
• Data pipelines 
• Governance and lineage. 

The Google Cloud Architecture Framework offers structured guidance that supports these principles. 

6. Phased migration wave planning

Enterprise architecture supports incremental migration by planning: 

• Migration waves 
• Dependency sequencing 
• Testing and validation 
• Operational readiness 
• Change management. 

This reduces risk and improves delivery speed. 

How enterprise architecture reduces cloud migration risks

Enterprise architecture enables organisations to avoid common cloud migration risks, such as: 

• Downtime, through dependency and impact analysis 
• Security gaps, by defining robust access and identity models 
• Cost overruns, by aligning with FinOps and workload sizing 
• Architecture drift, through strong governance 
• Integration failures, through complete visibility of data and interfaces 
• Scope creep, through clear migration sequencing. 

The UK government’s cloud guidance reinforces this structured, architecture-led approach for public sector organisations. 

Enterprise architecture and cost optimisation

Enterprise architecture helps organisations reduce cloud costs through: 

• Designing efficient cloud architectures 
• Choosing the right migration pattern 
• Removing technical debt 
• Preventing duplication across teams 
• Optimising data and storage strategies 
• Enforcing tagging and lifecycle policies 
• Supporting FinOps capabilities. 

Without enterprise architecture, cloud environments often become fragmented, expensive and difficult to manage. 

Enterprise architecture and AI-ready cloud platforms

AI adoption adds new complexity to cloud estates. Enterprise architecture ensures cloud platforms are AI-ready by defining: 

• Scalable GPU architectures 
• Cost efficient AI training environments 
• Data governance and lineage 
• Vector database integration 
• Secure access patterns 
• Hybrid data strategies. 

This ensures AI is adopted safely, efficiently and sustainably. 

How CACI supports enterprise architecture for cloud migration

CACI delivers robust enterprise architecture and cloud engineering services that accelerate migration while reducing risk, cost and complexity. 

Contact us today to learn more about how our structured architectural approach can help improve your migration quality, accelerate delivery and ensure your cloud investments generate measurable business value.  

Cloud is now firmly mainstream, with roughly 94% of enterprises using cloud services and a growing majority running over half of their workloads in the cloud. Worldwide end-user spending on public cloud was forecasted to reach roughly $723 billion in 2025, underlining just how critical cloud has become to a business’ strategy.  

Yet despite this investment, cloud migration challenges remain stubbornly persistent. One major study found that organisations spend on average 14% more on migration than planned and 38% of migrations are delayed by more than a quarter, driven by complexity, poor planning and skills gaps. Another widely cited report notes that 84% of organisations struggle to manage cloud spend effectively.  

This guide explores the most common cloud migration challenges, why they occur and how to design a migration strategy, tooling approach and operating model that gives you a much higher chance of success. It also demonstrates how CACI’s cloud, engineering and implementation services can support your journey. 

What is cloud migration and why is it so challenging?

Cloud migration is the process of moving applications, data, workloads and underlying infrastructure from on-premises or legacy environments into cloud platforms. It can also include moving between clouds or from one cloud service model to another.

Types of cloud migration

Understanding the main migration patterns is a useful starting point for setting expectations: 
 

• Rehost (lift-and-shift): Moving workloads with minimal changes. 
• Replatform: Making modest optimisations (e.g. managed databases) during migration. 
• Refactor: Re-architecting applications to use cloud-native services. 
• Rebuild: Rewriting systems from scratch for the cloud. 
• Replace: Retiring legacy apps in favour of SaaS solutions. 

Most organisations end up using a mix of these approaches across workloads.

Complex deployment models

Modern estates typically combine: 

• Public cloud for scale and agility 
• Private cloud for specific compliance or performance needs 
• Hybrid cloud spanning on-prem and cloud 
• Multi-cloud using several providers. 

Gartner expects 90% of organisations to adopt hybrid cloud by 2027, reflecting the reality that few businesses are “all in” on a single environment. More choice is valuable, but it amplifies governance, integration and cost-management challenges.

Cloud benefits versus migration risks

The benefits of cloud are well documented: agility, scalability, resilience, innovation, access to AI services and more. IDC’s overview of cloud market trends highlights how cloud is now the foundation for data, automation and AI use cases. 

However, without a structured approach, migrations can lead to: 

• Higher-than-expected operating costs 
• Outages and performance issues 
• Security gaps and compliance risk 
• Stalled programmes and change fatigue.

This is where understanding the main cloud migration challenges becomes essential. 

Most substantial cloud migration challenges (by phase)

Grouping cloud migration challenges by phase of the journey helps you anticipate issues before they derail your programme.

1. Strategy & business alignment challenges

No clear business case

Many migrations begin with a general desire to “move to the cloud” without defining measurable success criteria. Are you aiming for reduced costs, faster product delivery, better resilience, improved security or all the above?

Lift-and-shift by default

Under pressure to move quickly, organisations often default to lift-and-shift. While appropriate in some cases, this often leads to increased cloud costs and disappointed stakeholders once workloads land in an environment they were not designed for.

Misaligned stakeholders

Finance wants predictable spend, IT wants stability and business units want new features tomorrow. Without a shared roadmap and governance model, priorities can easily clash.

How to mitigate these challenges

• Define a clear business case with KPIs (e.g. target cost savings, uptime, deployment frequency)
• Involve IT, finance and business leaders from the outset
• Use a structured migration framework and consider partnering with specialists such as CACI’s cloud, engineering and implementation services to co-create your strategy.

2. Discovery & assessment challenges

Poor application and dependency visibility

It is not uncommon for organisations to start migration planning and then discover that they do not have a complete, up-to-date inventory of applications, databases, integrations and dependencies. Missing a single critical dependency can cause outages when workloads are moved.

Legacy constraints

Older platforms, bespoke middleware and tightly coupled integrations obfuscate cloud migration. Some systems may be out of vendor support or lack documentation.

Underestimating integration complexity

Hybrid and multi-cloud architectures must integrate cleanly with on-prem systems and SaaS applications. Underestimating integration can lead to brittle connections and security gaps.

How to mitigate these challenges

• Use automated discovery and assessment tools to build a realistic view of your estate
• Map dependencies visually and prioritise high-blast-radius systems
• Classify workloads using a structured model (retain, retire, rehost, re-platform, refactor, replace)
• Consider a Platform Migration approach with expert support, such as CACI’s dedicated Platform Migration service.

3. Architecture & technical challenges

Choosing the right architecture

The breadth of cloud services is both a blessing and a curse. Teams must choose between virtual machines, containers, serverless, managed databases, message queues, data lakes and more, often with incomplete information and tight deadlines.

Performance and latency issues

Network design, data placement and application architecture all influence latency and throughput. Poor decisions in these areas can degrade customer experience and internal system performance.

Vendor lock-in

Leveraging cloud-native services maximises value but may also increase dependence on specific providers. Regulatory and data-sovereignty discussions, particularly in the UK and EU, are causing many organisations to carefully consider portability and digital sovereignty strategies.

How to mitigate these challenges

• Define reference architectures and guardrails early
• Run performance tests in pilot migrations
• Make conscious choices about where you accept lock-in for higher value and where you prefer portability.

4. Cloud migration security challenges

Security is consistently cited as one of the top cloud migration challenges. Government and industry bodies emphasise that cloud— used correctly— can be more secure than on-prem infrastructure. The UK government’s Cloud First policy and accompanying guidance stress the importance of security-by-design, shared responsibility and robust governance.

Identity and access management (IAM)

Misconfigured IAM, overly broad privileges and lack of role-based access control are a major root cause of cloud incidents.

Data protection

Sensitive data must be encrypted in transit and at rest, with careful key management and robust backup and recovery procedures.

Compliance and shared responsibility

Regulated sectors must demonstrate compliance with standards and regulations in a model where security responsibilities are split between provider and customer.

How to mitigate these challenges

• Establish an IAM strategy with least-privilege access and strong authentication
• Implement encryption, key management and robust logging from day one
• Use security posture-management tools and align with public guidance such as the UK cloud guide for the public sector
• Build security into your cloud platform as part of solution implementation rather than as an afterthought.

5. Data & integration challenges

Moving large volumes of data

Migrating terabytes or petabytes of data without impacting operations requires careful planning. Complex cutover plans, bulk transfer tools and synchronisation mechanisms are often needed.

Data quality and consistency

Inconsistent schemas, duplication and poor data governance can lead to mistrust in analytics and operational systems post-migration.

Integrating cloud with on-prem and SaaS

APIs, message queues and integration platforms must be carefully designed to avoid fragile, tightly coupled connections.

How to mitigate these challenges

• Treat data migration as a dedicated workstream
• Clean and reconcile data before moving it
• Design integration patterns (e.g. event-driven architectures) aligned to your target operating model
• Draw on lessons from real-world programmes like CACI’s case study on HMCTS Court Store and Bench’s move to AWS.

6. Cost, governance & FinOps challenges

Cloud is often sold as a route to lower costs, but the reality is more nuanced. In 2025, 84% of organisations struggled to manage cloud spend and cost optimisation remains a top priority year after year.

Bill shock and opaque spend

Without robust tagging, budgeting and monitoring, costs can escalate quickly. Bursty workloads, test environments left running and underused instances are common culprits.

Weak financial governance

Traditional budgeting models are not always suited to variable, usage-based pricing. Cloud makes it easy to spend money, but not to spend wisely.

Unclear total cost of ownership

Many organisations underestimate the ongoing cost of running cloud environments, including observability, security, data transfer and platform teams.

How to mitigate these challenges

• Adopt FinOps principles early, not after migration. A growing number of organisations are doing this specifically to tackle cloud waste and align spend to business value
• Tag resources consistently to enable accurate cost allocation
• Use budgets, alerts and dashboards to track spend against KPIs
• Consider getting external support from cloud specialists such as CACI’s Cloud Services to design your governance model.

7. People, skills & operating model challenges

Skills gaps

Cloud-native, DevOps and automation skills are in high demand. Internal teams may lack experience in designing and operating cloud platforms at scale.

Operating model friction

Existing ITIL-style processes and siloed teams do not always translate well to cloud environments, where continuous delivery and shared ownership are essential.

Cultural change

Cloud is not just a technology shift, but a cultural one. Teams must embrace new ways of working, from infrastructure-as-code to platform teams and product-centric delivery.

How to mitigate these challenges

• Create a Cloud Centre of Excellence (CCoE) to set standards and share best practice
• Invest in training and hands-on enablement
• Partner with experienced providers to accelerate learning, as described in CACI’s article on the actual experience of cloud migration for business.

How to build a cloud migration strategy that avoids these challenges

A structured cloud migration strategy is your best defence against these pitfalls.

Step 1: Define business outcomes and KPIs

Start with the “why”:

• Cost optimisation (e.g. target percentage reduction in run-rate costs)
• Improved resilience (e.g. RPO/RTO targets, availability SLAs)
• Faster time-to-market (e.g. release frequency, lead time for changes)

Better customer and employee experience.

Step 2: Assess your current

• Catalogue applications, services, databases and integrations
• Classify each workload by business criticality, technical complexity and risk
• Identify “quick wins” and high-risk areas needing more design work.

Step 3: Plan migration waves

Avoid trying to move everything at once. Instead:

• Group workloads into waves with clear objectives
• Start with lower-risk, high-learning systems
• Use pilot migrations to refine patterns and tooling.

Step 4: Design your target cloud architecture

Make conscious choices about:

• Compute models (VMs, containers, serverless)
• Data platforms (managed databases, data lakes, warehouses)
• Networking and connectivity (VPNs, private links, SD-WAN)
• Platform services for security, observability and CI/CD.

Step 5: Embed security and governance upfront

• Define IAM, logging, monitoring and compliance controls before migration
• Align with recognised guidance such as the UK government’s cloud technology collection
• Treat “platform hardening” as a prerequisite for production workloads.

Step 6: Establish a cloud operating model

Clarify:

• Who owns the central platform
• How product and application teams consume it
• How changes are tested, deployed and supported.

This operating model is where the concept of a cloud-appropriate strategy (rather than “cloud at all costs”) really takes shape.

Step 7: Plan for continuous optimisation

Cloud migration is not a one-off event. After cutover, you should:

• Right-size resources and use auto-scaling
• Tune performance and storage tiers
• Modernise where there is clear value
• Review costs and security posture regularly.

Cloud migration tools, platforms & frameworks

Choosing the right tools reduces risk and effort at each stage of migration.

Discovery, assessment & dependency mapping

• Infrastructure discovery tools and CMDBs
• Application performance monitoring (APM) platforms
• Dependency mapping and visualisation tools.

Data migration & synchronisation

• Cloud-native database migration services
• ETL/ELT tools for structured data movement
• Bulk transfer technologies for large datasets.

Application migration & modernisation

• Containerisation and orchestration tools
• Refactoring accelerators and code analysis tools
• CI/CD platforms to support new deployment models.

Security, compliance & governance

• Cloud security posture management (CSPM) and policy-as-code
• Identity and access management, secrets management and HSMs
• SIEM and threat-detection tooling.

Observability, performance & FinOps (H3)

• Monitoring, logging and tracing platforms
• Cost-management and optimisation tools aligned with FinOps practices.

The specific mix will depend on your chosen cloud providers and operating model, but the categories remain consistent.

Cloud migration best practices

This checklist outlines a practical reference throughout your programme:

Pre-migration

• Business case and KPIs agreed
• Application inventory and dependency maps completed
• Migration patterns decided per workload (rehost / replatform / refactor / etc.)
• Security and governance baselines designed
• Cost management and tagging strategy defined.

During migration

• Workloads migrated in waves, with rollback plans
• Performance and resilience tested in each wave
• Security controls verified before go-live
• Costs monitored against forecasts.

Post-migration

• Workloads rightsized and tuned
• Modernisation opportunities assessed
• Security posture and compliance reviewed regularly
• KPIs tracked and reported to stakeholders.

Measuring cloud migration success: KPIs & metrics

You cannot improve what you do not measure. Useful KPIs include:

Technical

• Availability and uptime
• Latency and response times
• Error rates and incident frequency.

Financial

• Monthly cloud run-rate vs baseline
• Cost per transaction or per user
• Savings from rightsizing or modernisation initiatives.

Business

• Release frequency and deployment lead times
• Time-to-market for new features
• Customer satisfaction or NPS impact.

Security

• Number of critical vulnerabilities
• Mean time to detect (MTTD) and mean time to remediate (MTTR)
• Compliance audit findings.

These metrics help you demonstrate whether your cloud migration is delivering on its promises or whether strategy and execution need to be re-thought.

Turning cloud migration challenges into an advantages with CACI

Cloud has moved from a novelty to a business necessity, but the real differentiator is how effectively your organisation navigates cloud migration challenges: strategy, security, cost, people and operations.

With the right roadmap, tools and operating model, you can turn those challenges into an advantages: more resilient services, faster innovation and a technology foundation ready for AI and future growth.

If you are ready to move from theory to practice, explore CACI’s Cloud, Engineering & Implementation Services and our dedicated Platform Migration and Solution Implementation offerings. You can also learn from real projects in our article on the actual experience of cloud migration for business.

Cloud adoption continues to accelerate across both public and private sectors, and cloud spending has now reached a scale where cost management is a strategic and board-level concern rather than a purely technical issue.

A Gartner study published in late 2024 projected that global public cloud end-user spending would reach approximately USD 723 billion in 2025, underpinned by sustained double-digit growth driven by digital transformation initiatives, large-scale data platforms and accelerating AI adoption.

As organisations enter 2026, cloud is no longer an experimental or discretionary technology choice. It is a core operational dependency underpinning digital services, analytics, AI delivery and mission-critical systems. As a result, cloud costs now represent a material and recurring component of IT, transformation and operational budgets.

At the same time, there is strong and consistent evidence that a significant proportion of cloud spend does not deliver corresponding business value. IDC estimates that 20-30% of all cloud spending is wasted, even in organisations with established cloud platforms and governance practices.

A 2024 cloud efficiency study referenced by Stacklet found that 78 percent of organisations estimate that between 21 and 50 percent of their annual cloud spend is wasted, with many losing more than USD 75,000 per month due to idle resources, inefficient architectures and weak controls.

In 2026, cloud cost optimisation is therefore no longer about reactive cost cutting or short-term savings. It is about financial sustainability, architectural resilience, responsible AI adoption and long-term operational maturity. Organisations that fail to embed cost optimisation into day-to-day cloud operations risk limiting innovation, constraining AI initiatives and eroding confidence at executive and assurance levels.

This guide sets out practical, execution-focused cloud cost optimisation strategies for 2026, combining industry research, FinOps best practice and real-world delivery experience across complex cloud estates.

A practical cloud cost optimisation roadmap for 2026

One of the most common reasons cloud cost optimisation initiatives fail is a lack of sequencing. Organisations often attempt to optimise everything at once, resulting in fragmented effort and limited impact. Successful programmes instead follow a phased approach aligned to FinOps maturity models and operational reality.

Phase 1: Visibility and accountability (weeks 0–4)

The objective of this phase is to understand where cloud spend occurs and who is responsible for it.

Key activities include:

• defining a consistent, mandatory tagging standard
• allocating cloud costs to services, teams and business units
• establishing baseline dashboards, budgets and alerts

Without this foundation, optimisation efforts lack focus and accountability.

Phase 2: Waste removal and early savings (months 1–3)

Once visibility exists, most organisations can realise rapid savings by addressing obvious inefficiencies.

Typical actions include:

• identifying idle, unused or oversized resources
• rightsizing the highest-cost services
• shutting down non-production environments outside working hours

This phase often delivers visible savings within weeks, helping to build organisational momentum.

Phase 3: Structural and architectural optimisation (months 3–9)

This phase addresses systemic inefficiencies that drive recurring cloud cost.

Key activities include:

• introducing auto-scaling and demand-based architectures
• applying savings plans and reserved capacity where usage is stable
• modernising legacy applications that were lifted and shifted without redesign

Phase 4: Prevention, governance and forecasting (ongoing)

Long-term value comes from preventing waste from re-emerging.

This requires:

• embedding a FinOps operating model
• automating cost guardrails and policy enforcement
• forecasting cloud spend based on business demand rather than historical usage

Why cloud cost optimisation matters in 2026

While cloud growth and waste provide the backdrop, several 2026-specific factors have increased the urgency of cost optimisation.

Cloud spend is now structurally embedded

With global cloud spending measured in hundreds of billions of dollars annually, cloud services now represent a permanent operating cost rather than a variable experiment. In 2026, optimisation must be treated as a continuous operational discipline, not a periodic financial exercise.

AI significantly increases cost pressure

AI and advanced analytics workloads are among the fastest-growing contributors to cloud spend. Model training, inference pipelines, vector databases and large-scale data storage require sustained compute, specialised GPUs and high-throughput data movement. Industry analysis reported by TechMonitor highlights AI adoption as a growing driver of cloud overspend when governance is weak

Visibility and governance remain inconsistent

FinOps Foundation surveys consistently show that more than 40 percent of organisations struggle to accurately attribute cloud spend, particularly across hybrid and multi-cloud estates. Without clear ownership, optimisation initiatives lose traction.

Public sector accountability continues to increase

UK government guidance on cloud usage emphasises transparency, value for money and responsible stewardship of public funds. In 2026, demonstrable control over cloud cost is essential for audit readiness, regulatory compliance and maintaining public trust.

Key cloud cost trends shaping 2026

Across analyst research, FinOps community insights and delivery experience, several structural trends are shaping cloud economics in 2026. These trends explain why cloud costs remain difficult to control, even as tooling, skills and platform maturity improve.

Despite years of investment in cloud platforms, cost visibility tools and FinOps capability, cloud waste remains consistently high. This is not primarily due to technical immaturity, but because cloud operating models still incentivise speed and autonomy over financial discipline. Teams are optimised to deliver features quickly, while the financial impact of architectural decisions often remains abstract or delayed.

In 2026, waste increasingly originates from design-time decisions, such as selecting always-on services for variable workloads, duplicating datasets for convenience, or over-allocating resources to avoid performance risk. This shifts optimisation from a purely operational activity to a design and governance challenge, where cost awareness must be embedded earlier in the delivery lifecycle.

AI and data platforms are redefining what “expensive” means in cloud

Historically, cloud cost growth was driven by general-purpose compute and storage. In 2026, the cost profile will be increasingly shaped by specialised, high-performance services. GPU-backed workloads, vector databases, real-time analytics engines and large-scale data pipelines now dominate spend growth, particularly in organisations scaling AI beyond experimentation.

This trend is significant because these workloads behave differently from traditional applications. They are data-intensive and highly sensitive to architectural choices, meaning small design inefficiencies can have disproportionate cost impact. As a result, organisations are finding that traditional optimisation levers are less effective unless they are complemented by AI-aware financial governance and forecasting models.

FinOps is shifting from insight to intervention

FinOps adoption has moved beyond dashboards and retrospective reporting. In 2026, leading organisations will be using FinOps as an active control mechanism, not just an analytical function. This includes embedding financial signals into delivery pipelines, using cost data to inform architectural trade-offs, and aligning spend decisions with business priorities in near real time.

This shift reflects a broader recognition that cost is a first-class operational metric, alongside reliability, security and performance. As FinOps matures, its value increasingly depends on organisational influence and integration, rather than tooling sophistication alone. The challenge for many organisations is no longer visibility but turning insight into enforceable decisions without slowing delivery.

Multi-cloud complexity is now an economic issue, not just a technical one

Multi-cloud strategies have become standard, driven by resilience, policy, supplier strategy and workload suitability. However, in 2026 the cost implications of multi-cloud are becoming more visible. Differences in pricing models, discount structures, data egress costs and managed services make consistent optimisation across providers difficult.

As a result, organisations are increasingly forced to balance strategic flexibility against economic efficiency. This has elevated the importance of cross-cloud financial normalisation, where spend is compared and governed at a service or capability level rather than by provider. Cost optimisation in multi-cloud environments is therefore becoming a portfolio management challenge, not just a technical exercise.

Public sector collaboration is moving from policy to practice

In the public sector, cloud cost management is evolving from guidance and principle-based frameworks into practical, shared implementation. Departments and agencies are increasingly collaborating on standards for cost transparency, FinOps maturity and data sharing, supported by central initiatives and communities of practice.

This trend reflects growing recognition that cloud cost challenges are systemic, not isolated. By sharing tooling patterns, metrics and governance approaches, public sector organisations aim to reduce duplication, improve comparability and strengthen assurance. In 2026, this collective approach is becoming a key enabler of sustainable cloud adoption, particularly as AI and data workloads expand across government.

These trends manifest in a set of recurring challenges that organisations encounter as cloud estates scale.

Common cloud cost optimisation challenges

Despite growing awareness of cloud economics and wider adoption of FinOps practices, many organisations continue to struggle with the same underlying cost challenges. In 2026, these issues persist not because of a lack of technology, but because cloud cost management is as much an organisational and operating-model problem as it is a technical one.

1. Poor visibility and inconsistent allocation

While most organisations collect cloud cost data, many still lack decision-grade visibility. Costs are often visible at an account or subscription level, but not consistently attributed to business services, products or outcomes. This creates a disconnect between cloud consumption and business value.

In practice, visibility breaks down when tagging standards are inconsistently applied, ownership is unclear, or cost data is interpreted differently by engineering, finance and product teams. In 2026, this challenge is compounded by the rise of shared platforms, managed services and AI pipelines, where multiple teams consume the same underlying resources. Without a common allocation model, cloud spend becomes difficult to explain, challenge or forecast, even when dashboards and detailed receipts exist.

The result is a familiar pattern: cost reports are produced, but they do not meaningfully influence decisions.

2. Idle and over-provisioned resources

Idle and over-provisioned resources remain one of the most visible sources of cloud waste, yet they continue to accumulate in mature environments. This is partly because cloud platforms make it easy to provision capacity quickly, but place relatively little friction on leaving it running indefinitely.

In many organisations, responsibility for decommissioning resources is ambiguous. Development and test environments are created for short-term needs but persist long after projects move on. Capacity is deliberately oversized to reduce perceived performance risk, particularly for customer-facing or data-intensive workloads. Container platforms add another layer of abstraction, where unused capacity is less obvious than in traditional virtual machine estates.

By 2026, the challenge is less about identifying individual idle resources and more about preventing sprawl from becoming the default state of cloud environments.

3. Lift-and-shift migrations

Many organisations still operate a significant proportion of workloads that were migrated to the cloud using lift-and-shift approaches. While this accelerates migration timelines, it often locks in cost inefficiencies that persist for years.

Applications designed for on-premise infrastructure typically assume static capacity, peak sizing and tightly coupled components. When moved unchanged to the cloud, these assumptions translate into always-on resources, limited elasticity and higher baseline costs. Over time, teams compensate by over-provisioning to maintain stability, rather than addressing architectural limitations.

In 2026, the challenge is that these workloads often underpin critical services. Their cost impact is well understood, but the perceived risk and effort of refactoring mean optimisation is repeatedly deferred, even as they consume a disproportionate share of cloud budgets.

4. Limited governance and automation

Cloud environments scale faster than traditional governance models. Where policies, approvals and controls rely on manual processes, they quickly become bottlenecks and are either bypassed or ignored.

In many organisations, governance is still applied after resources are provisioned, rather than embedded into how platforms are built and used. This leads to inconsistent enforcement of standards, reactive clean-up exercises and reliance on individual diligence rather than systemic control.

By 2026, the absence of automation will become a cost challenge. Without automated guardrails, organisations struggle to maintain consistent financial control as teams, workloads and environments grow. The result is a cycle of periodic optimisation efforts that temporarily reduce spend, only for inefficiencies to re-emerge.

5. AI and data gravity

AI and data-driven workloads introduce a distinct set of cost challenges that differ from traditional application hosting. These workloads are inherently data-intensive, often requiring large datasets to be moved, duplicated or processed repeatedly across environments.

As models evolve and pipelines become more complex, storage volumes grow, GPU utilisation increases and data transfer costs become more material. Data gravity exacerbates this effect, making it difficult to relocate workloads without incurring additional cost or performance penalties. In many cases, teams optimise for experimentation speed rather than cost efficiency, particularly in early AI adoption phases.

In 2026, organisations are finding that AI cost challenges are not caused by individual services, but by end-to-end pipeline design, where small inefficiencies compound across storage, compute and data movement over time.

Why these challenges persist

Taken together, these challenges highlight a common theme: cloud cost optimisation fails when it is treated as a periodic clean-up activity rather than a core operating discipline. Without clear ownership, aligned incentives and embedded governance, inefficiencies naturally re-emerge as cloud estates and AI workloads continue to scale.

Cloud cost optimisation strategies and best practices for 2026

1. Improve tagging, allocation and cost visibility

What to do
Building on the visibility foundation outlined earlier, define a mandatory tagging standard covering application, owner, environment, cost centre, data classification and compliance context.

How to implement

• enforce tagging using cloud-native policy tools
• validate tags in CI/CD pipelines
• auto-remediate missing metadata

What good looks like

• over 90 percent of cloud spend accurately tagged
• monthly showback or chargeback reporting
• clear ownership of top cost drivers

Organisations often establish this capability as part of a broader cloud landing zone or cloud engineering programme.

2. Adopt continuous rightsizing

Rightsizing should be an ongoing operational activity rather than an annual review.

Effective approaches include:

• monthly utilisation reviews
• thresholds such as CPU below 30 percent or memory below 40 percent for sustained periods
• removal of unused snapshots and volumes

This approach consistently delivers savings without service degradation.

3. Use auto-scaling and demand-based architectures

Auto-scaling ensures capacity aligns with actual demand.

Best practice includes:

• horizontal scaling for stateless services
• defined minimum and maximum capacity limits
• regular load testing
• automatic shutdown of non-production environments outside business hours

These patterns are commonly implemented during platform migration and modernisation initiatives.

4. Optimise storage and data lifecycle management

Storage costs grow rapidly, particularly for analytics and AI.

Effective strategies include:

• tiering infrequently accessed data
• enforcing retention and lifecycle rules
• archiving logs
• reducing unnecessary cross-region transfers

These controls are often embedded within data platform and analytics architectures.

5. Align purchasing models with workload patterns

Savings plans and reserved capacity can reduce long-running workload costs by 30–70 percent when applied correctly.

Best practice includes:

• committing only once usage patterns stabilise
• targeting utilisation above 70 percent
• reviewing commitments quarterly

6. Build a mature FinOps operating model

A mature FinOps model includes:

• a central FinOps capability
• real-time dashboards
• shared accountability across engineering, finance and product teams
• monthly governance reviews
• demand-based forecasting

Many organisations formalise this capability as a dedicated FinOps and cost optimisation function.

7. Modernise applications to remove architectural waste

Modernisation often delivers greater long-term savings than pricing optimisation alone.

Cloud-native patterns such as containers, serverless and managed services reduce reliance on persistent infrastructure and scale automatically with demand.

8. Optimise AI and advanced analytics workloads

AI workloads require dedicated optimisation strategies.

Effective techniques include:

• using lower-cost GPU types for development and testing
• separating training and inference environments
• tracking cost per inference and cost per model version
• pruning unused models and datasets
• monitoring vector database growth carefully

9. Automate cost guardrails

Automation prevents waste before it accumulates.

Examples include:

• enforcing tagging automatically
• shutting down idle environments
• blocking unapproved high-cost services
• detecting anomalous spend
• automatically cleaning up unused resources

Cloud cost optimisation with CACI

In 2026, cloud cost optimisation is about predictability, resilience and sustainable innovation, not reactive cost cutting. CACI supports organisations across the full optimisation lifecycle, from rapid waste reduction to long-term architectural transformation and FinOps maturity.

If your organisation cannot clearly explain who owns cloud spend, why costs fluctuate month-to-month, or how AI growth will be funded sustainably, optimisation opportunities already exist. CACI helps organisations move from reactive cost control to value-driven cloud economics that support growth, innovation and public accountability.

FAQs around cloud cost optimisation strategies

What does a cloud cost optimisation strategy include in 2026?

A cloud cost optimisation strategy in 2026 includes cost visibility, architectural efficiency, governance and forecasting, enabling organisations to control spend while scaling cloud and AI workloads. It focuses on embedding cost awareness into design, delivery and operational decision-making rather than reactive clean-up.

How is cloud cost optimisation different from FinOps?

Cloud cost optimisation focuses on reducing waste and improving efficiency, while FinOps is the operating model that makes those improvements sustainable. FinOps aligns engineering, finance and product teams around shared accountability, governance and forecasting.

When should organisations start optimising cloud costs?

Organisations should start optimising cloud costs as soon as cloud usage begins, not after spend becomes excessive. Early optimisation prevents inefficient patterns becoming embedded and reduces long-term cost growth.

How much can organisations save with cloud cost optimisation?

Most organisations can reduce cloud spend by 20 to 40 percent through effective cost optimisation, depending on estate maturity and governance. Savings are highest where idle resources, over-provisioning and legacy workloads are common.

Why do cloud costs keep increasing even after optimisation?

Cloud costs continue to increase when optimisation focuses on one-off savings rather than ongoing governance and demand-based control. New services, data pipelines and AI workloads often grow faster than financial controls evolve.

How do AI workloads affect cloud cost optimisation?

AI workloads increase cloud costs because they rely on high-performance compute, large datasets and repeated processing, which scale non-linearly. This requires AI-specific cost governance and forecasting to remain sustainable.

Is cloud cost optimisation harder in multi-cloud environments?

Cloud cost optimisation is harder in multi-cloud environments because pricing models, discounts and data transfer costs vary across providers. Organisations increasingly manage costs at a service or portfolio level rather than optimising each cloud independently.

Who should own cloud cost optimisation?

Cloud cost optimisation should be a shared responsibility across engineering, finance and product teams, coordinated by a central FinOps or governance function. This ensures cost decisions align with technical and business priorities.

How often should cloud cost optimisation be reviewed?

Cloud cost optimisation should be reviewed continuously using real-time monitoring, with formal governance reviews conducted monthly. This combination enables early detection of anomalies while supporting strategic oversight.

The anticipated cyber threats facing UK businesses in 2026 are evolving faster than security teams can adapt. Attackers are using AI to generate convincing phishing attacks, exploit software supply chains, compromise cloud identities and launch highly disruptive ransomware campaigns. 

Recent research highlights the severity of the issue: 

• The National Cyber Security Centre (NCSC) warns that ransomware remains the most dangerous threat to UK businesses, noting that attackers now use automation and AI to scale campaigns across thousands of victims. 

• The latest UK Government Cyber Security Breaches Survey shows 50% of UK businesses experienced a cyber incident in 2024, rising to 74% for medium businesses and 91% for large organisations. 

• Meanwhile, the IBM Cost of a Data Breach Report reports an average UK breach cost of £3.4 million, one of the highest globally. 

To effectively safeguard your organisation into 2026, understanding how these cyber threats are evolving will be paramount. The key threats to prepare for are expected to be: 

1. AI-powered phishing and social engineering 

Cyber criminals now use generative AI to produce highly convincing phishing emails, cloned voices and deepfake videos. 

According to the National Cyber Security Centre (NCSC), AI will likely continue to “make elements of cyber intrusion operations more effective and efficient, leading to an increase in frequency and intensity of cyber threats.”Approximately £100 million was lost to investment scams driven deepfake videos in the first half of 2025.

Why it matters:

AI removes spelling errors, improves targeting and creates believable voice calls, making phishing harder to detect.

Actions to take:

• Enable multi-factor authentication (MFA) across all accounts 
• Train staff using AI-simulated phishing exercises 
• Introduce payment verification with multi-person approval 
• Use real-time email threat scanning. 

2. Ransomware as a service targeting UK SMEs 

Ransomware continues to dominate the UK threat landscape. 

• Global ransomware attacks have increased by 56% over the last two years. 
• The average downtime after a ransomware incident exceeds 21 days. 

Why it matters:

Ransomware groups now target SMEs because they are less likely to have strong incident response capabilities.

Actions to take:

• Maintain offline backups 
• Implement zero-trust identity policies 
• Create and rehearse a ransomware response pla
• Block admin rights by default 

3. Software supply chain compromise 

Supply chain attacks are now a priority risk area. 

• ENISA reports that supply chain risks comprise 10.6% of threat distribution.
• These attacks impact thousands of organisations simultaneously by compromising trusted software components. 

Why it matters:

Compromising one supplier can affect thousands of UK organisations simultaneously.

Actions to take: 

• Maintain a third-party risk register 
• Request Software Bills of Materials (SBOMs) from critical suppliers 
• Apply continuous dependency scanning 
• Implement zero trust network segmentation. 

4. Cloud misconfiguration and identity-based attacks 

Cloud adoption has surged across UK organisations, but configuration drift and weak identity controls are leading causes of breaches. 

• Cloud security breaches have been on the rise in recent years, with as much as 75% reportedly caused by inadequate identity, access or privilege management. 
• Misconfigured storage services continue to expose millions of records annually. 

Why it matters:

Most cloud breaches are preventable with strong identity, configuration and policy controls. 

Actions to take:

• Adopt secure cloud landing zones 
• Enforce MFA and conditional access 
• Use policy-as-code to eliminate misconfigurations 
• Continuously scan cloud environments. 

5. Nation state threats to UK critical infrastructure 

Geopolitical tensions have increased targeting of critical national infrastructure (CNI). 

• The NCSC warns that hostile states present a persistent and realistic threat to UK CNI. 
• ENISA notes a 30% rise in targeted attacks on European infrastructure providers. 

Why it matters:

Healthcare, energy, transportation and public services remain key targets due to their societal impact.

Actions to take:

• Implement zero trust across operational technology 
• Segment networks between IT and OT 
• Improve visibility with 24/7 threat monitoring 
• Apply NCSC Cyber Assessment Framework controls. 

6. Deepfake enabled fraud and CEO impersonation

Deepfake technologies are enabling highly sophisticated financial fraud. 

• Deloitte reports deepfake incidents have increased as much as 700% in certain industries.  
• UK Finance warns that criminals are increasingly impersonating executives to initiate fraudulent transactions. 

Why it matters:

Deepfakes undermine trust in human-to-human verification processes.

Actions to take: 

• Introduce strict financial verification processes.
• Train staff to spot manipulated audio and video.
• Adopt secure communication channels for executive approvals. 

7. Zero-day exploitation of widely used platforms

Zero-day attacks are escalating in frequency and speed. 

•  Google’s Threat Analysis Group recorded a 50 percent increase in zero-day exploitation in 2024.
• Attackers now exploit vulnerabilities within days or hours of disclosure. 

Why it matters:

Complex estates with legacy systems are especially vulnerable.

Actions to take:

• Prioritise patching for high-risk assets.
• Monitor for exploitation evidence.
• Implement virtual patching where possible.
• Use threat intelligence feeds. 

8. IoT and OT vulnerabilities in connected environments

Manufacturers, utilities, healthcare providers and logistics operations increasingly rely on connected devices. 

• ENISA cites OT systems as being “high value targets across all types of threats”. 
• Many IoT devices still rely on outdated firmware or contain default credentials. 

Why it matters:

Compromised IoT devices can become pivot points into critical operational systems.

Actions to take:

• Replace unsupported devices.
• Apply network segmentation for OT.
• Block inbound internet access to IoT.
• Deploy device-level monitoring. 

9. Insider threats amplified by hybrid working

Hybrid and remote work models increase insider risk: 

• The Ponemon Institute states that insider incidents account for over 25% of data breaches. 
• Misconfigurations, accidental data sharing and shadow IT remain serious concerns. 

Why it matters:

Accidental insider threats are far more common than malicious actors. 

Actions to take:

• Enforce least privilege access.
• Use behavioural analytics.
• Implement secure file sharing and DLP.
• Train staff on emerging threats.

10. API exploitation and automated attacks 

APIs now underpin modern digital services. 

• Akamai observed a 137% increase in API attack traffic. 
• Poorly secured APIs expose sensitive data and authentication weaknesses. 

Why it matters:

APIs expose data, identity and business logic if not securely managed.

Actions to take:

• Authenticate and authorise every API.
• Implement rate limiting.
• Continuously test API endpoints.
• Apply zero trust principles to API gateways. 

What has changed in the last year? 

• Phishing is now AI-powered 
• Ransomware involves triple extortion and data auctions 
• Supply chain attacks now target trust models in AI systems 
• Cloud attacks increasingly abuse identity, APIs and automation 
• Deepfake fraud has moved from fringe to mainstream 
• The threat landscape is faster, smarter and more financially motivated. 

An actionable cyber checklist: What UK organisations should do now 

These are the most impactful security actions UK organisations can take in the next 30 days to reduce exposure to cyber threats in 2026: 

Week 1: Strengthen identity and access 

• Enforce MFA for all users 
• Audit all admin and privileged accounts 
• Enable conditional access across cloud platforms 
• Remove shared accounts where possible 
• Rotate any high-risk or stale credentials. 

Week 2: Reduce cloud and configuration risk 

• Run a cloud misconfiguration scan (AWS, Azure, GCP) 
• Apply baseline cloud landing zone guardrails 
• Review API authentication and rate limiting 
• Disable any unused cloud workloads or exposed endpoints 
• Validate backup integrity and ensure offline copies exist. 

Week 3: Improve ransomware and supply chain resilience 

• Conduct a ransomware tabletop exercise 
• Review supplier risk for your top 10 critical vendors 
• Update incident response playbooks 
• Request Software Bills of Materials (SBOMs) where relevant 
• Validate segmentation between IT and OT networks. 

Week 4: Prepare for AI-enabled and deepfake attacks 

• Deliver an AI phishing simulation across the organisation 
• Implement voice and video verification checks for senior leadership 
• Update payment verification and financial approval processes 
• Train staff to recognise deepfake and social engineering signs 
• Review your organisation’s readiness against the NCSC Cyber Assessment Framework. 

What your board needs to know in 2026 

• Cyber threats now represent a material business risk, not just IT risk. 
• AI increases threat volume and reduces detection time. 
• Cloud identity and configuration security are top failure points. 
• Regulatory pressure is rising under ICO expectations and NIS2/DORA impacts. 
• Investment in governance, resilience and people is essential. 

How CACI can help

CACI helps organisations strengthen controls and capabilities through its Network Security and Enterprise Architecture services. Our cloud engineering and implementation services also ensure these controls are embedded from day one.

FAQs around cyber threats facing UK businesses in 2026

What are the biggest cyber threats to UK businesses in 2026?

The biggest threats include AI powered phishing, ransomware, supply chain compromise, cloud misconfiguration, API exploitation and nation-state activity. These attacks are highly automated and increasingly difficult to detect.

Why are UK SMEs at high risk of cyber attacks?

SMEs often have fewer cyber resources, limited monitoring and weaker controls, making them easier targets for ransomware and phishing. Attackers know SMEs are more likely to pay ransoms or fall for social engineering.

How can UK organisations defend against ransomware?

Defence strategies include MFA everywhere, secure backups, endpoint protection, zero trust principles, patching and rehearsed incident response plans. Aligning cloud governance with best practice significantly reduces risk.

How does AI change cyber threats in 2026?

AI increases attack volume and accuracy. Threat actors use AI to generate phishing content, clone voices, create deepfakes and analyse vulnerabilities faster than before. This reduces detection time and increases breach likelihood.

What does the NCSC recommend for improving cyber resilience?

The NCSC recommends MFA, patching quickly, securing cloud identities, conducting supply chain checks, reviewing backups and following the Cyber Assessment Framework. Businesses should ensure governance, risk and controls are regularly tested.

When it comes to strengthening your network security posture, doing so is no longer a nice-to-have, but a strategic necessity. The notion of strengthening your network may sound time-intensive and lengthy, however, there are some immediate changes that can lead to quick wins. In this blog, we uncover four key steps IT leaders can take to strengthen network security posture and immediate quick wins that can be achieved upon doing so.  

Four steps to strengthen your network security posture

Security is no longer optional. These four foundational actions will help you reduce risk and build resilience: 

1. Adopt zero trust principles

Zero trust means “never trust, always verify.” Every user and device inside or outside the network must be authenticated and authorised. This approach limits the impact of breaches and is now recommended by the NCSC and leading global providers.  

• Implement strong authentication for all users and devices.  
• Segment networks to limit lateral movement.  
• Continuously monitor for unusual behaviour.  

2. Automate detection and response

Manual processes cannot keep pace with modern threats. Automation can reduce response times by up to 40%, demonstrating its ability to help defenders stay ahead. 

• Use AI-driven tools for threat detection and alert triage.  
• Automate patching, backup, and incident response workflows.
• Regularly test and updated automated playbooks.

3. Operational load

With many IT teams stretched thin, managed network services allow organisations to focus on strategy while experts handle day-to-day operations, monitoring and compliance. 

• Consider managed firewall, detection and response and vulnerability management services.  
• Ensure providers offer transparent reporting and clear SLAs.

4. Secure hybrid work

With two-thirds of UK employees working remotely at least part-time, endpoint protection and secure remote access are essential.  

• Enforce multi-factor authentication for all remote access.  
• Protect endpoints with up-to-date security software and policies.
• Educate staff on secure working practices. 

Quick wins: Immediate actions UK IT leaders should take 

Not every improvement requires a major investment or a long-term project. The following actions can quickly reduce risk and strengthen your security posture:  

Enable multi-factor authentication (MFA) 

Multi-factor authentication (MFA) is one of the most effective ways to prevent account compromise, blocking the majority of phishing and credential stuffing attacks.  

• Enforce MFA for all users, not just administrators.  
• Use app-based or hardware tokens for stronger protection. 
• Regularly review and test MFA coverage.  

Read NCSC guidance on MFA  

Patch the basics consistently and quickly

Most breaches exploit known vulnerabilities. Even delays in patching of a few days can be costly.  

• Maintain an up-to-date inventory of all assets, including cloud workloads and remote endpoints. 
• Apply critical patches within 14 days, as recommended by the NCSC.  
•  Automate patch deployment and monitor for failures.  

Back up critical data securely and test your restores

Ransomware is only effective if you cannot recover your data. Secure, tested backups are essential.  

• Use immutable, offsite or cloud-based backups.  
• Regularly test restores to ensure data integrity.  
• Protect backup credentials with MFA and restrict access.

Review firewall rules and access controls

Firewall policies can become cluttered over time with unused or overly permissive rules, creating hidden vulnerabilities.  

• Schedule regular firewall reviews to remove unused or risky rules.  
• Align policies with current business needs.  
• Use automated tools to analyse policies for overlaps and compliance gaps.   

Run a tabletop incident response exercise 

Plans are only effective if teams can execute them under pressure. Tabletop exercises simulate real-world incidents, allowing teams to rehearse roles and identify gaps.  

• Involve both technical and business stakeholders.  
• Use realistic scenarios tailored to your organisation.
• Capture lessons learned and update your incident response plan.  

See NCSC’s guidance on incident response exercises 

How CACI can help enhance your network security

CACI has helped UK businesses protect their networks for decades. From network security to data centre solutions and IT consulting, our expertise delivers secure-by-design architectures, automation, and incident readiness for robust network security.  

Download our 2026 Network Security Survival Guide today to learn more about how your organisation can set its network environments up for success. 

The demand for cloud-based offerings has surged following the uptake of hybrid working and evolving customer expectations and digital infrastructure. Businesses that fail to adapt run the risk of being left behind. Understanding the benefits to determine whether cloud adoption is right for you is therefore critical. 

In our previous blogs, we shared the key advantages of cloud adoption and challenges in cloud security. In our final blog of this series, we share integral steps to strengthen your organisation’s cloud security. 

As more businesses adopt cloud technology, primarily to support hybrid working, cybercriminals are focusing their tactics on exploiting vulnerable cloud environments. Over the last year, a report found that 80% of organisations experienced at least one cloud security breach. 

This issue has been exacerbated by soaring global demand for tech talent. On a global scale, the demand for cybersecurity professionals reaches well into the millions, which is far beyond the current number of working individuals as is. Hiring and training new talent at pace is impossible with this accelerating demand. 
 
It’s a vulnerable time for enterprise organisations, and cloud security is the top priority for IT leaders. Here we consider the critical steps you can take now to make your business safer. 

1. Understand your shared responsibility model

Defining and establishing the split of security responsibilities between an organisation and its CSP is one of the first steps in creating a successful cloud security strategy. Taking this action will provide more precise direction for your teams and mean that your apps, security, network and compliance teams all have a say in your security approach. This helps to ensure that your security approach considers all angles.

2. Create a data governance framework

Once you’ve defined responsibilities, it’s time to set the rules. Establishing a clear data governance framework that defines who controls data assets and how data is used will provide a streamlined approach to managing and protecting information. Setting the rules is one thing, however; ensuring they’re carefully followed is another. Employing content control tools and role-based access controls to enforce this framework will help safeguard company data. Ensure your framework is built on a solid foundation by engaging your senior management early in your policy planning. With their input, influence and understanding of the importance of cloud security, you’ll be better equipped to ensure compliance across your business. 

3. Opt to automate

In an increasingly hostile threat environment, in-house IT teams are under pressure to manage high numbers of security alerts. It doesn’t have to be this way though. Automating security processes such as cybersecurity monitoring, threat intelligence collection and vendor risk assessments means your team can spend less time analysing every potential threat, reducing admin errors and dedicating more time to innovation and growth activities. 

4. Assess and address your knowledge gaps

Your users can either provide a strong line of defence or open the door to cyber-attacks. Make sure it’s the former by equipping staff and stakeholders access to your cloud systems with the knowledge and tools they need to conduct safe practices, such as by providing training on identifying malware and phishing emails. For more advanced users of your cloud systems, take the time to review capability and experience gaps and consider where upskilling or outsourcing is required to keep your cloud environments safe. 

5. Consider adopting a Zero Trust model

Based on the principle of ‘Never Trust, Always Verify’, a Zero Trust approach removes the assumption of trust from the security architecture by requiring authentication for every action, user and device. Adopting a Zero Trust model means always assuming that there’s a breach and securing all access to systems using multi-factor authentication and least privilege. In addition to improving resilience and security posture, this approach can also benefit businesses by enhancing user experiences via Single Sign-On (SSO) enablement, allowing better collaboration between organisations and increased visibility of your user devices and services. However, not all organisations can accommodate a Zero Trust approach. Incompatibility with legacy systems, cost, disruption and vendor-lock-in must be balanced with the security advantages of Zero Trust adoption. #

6. Perform an in-depth cloud security assessment

Ultimately, the best way to bolster your cloud security is to perform a thorough cloud security audit. Having a clear view of your cloud environments, users, security capabilities and inadequacies will allow you to take the best course of action to protect your business. 

7. Bolster your defences

The most crucial principle of cloud security is that it’s an ongoing process and continuous monitoring is key to keeping your cloud secure. However, in an ever-evolving threat environment, IT and infosec professionals are under increasing pressure to stay ahead of cybercriminals’ sophisticated tactics. 

A robust threat monitoring solution can help ease this pressure and bolster your security defence. Threat monitoring works by continuously collecting, collating and evaluating security data from your network sensors, appliances and endpoint agents to identify patterns indicative of threats. Threat alerts are more accurate with threat monitoring analysing data alongside contextual factors such as IP addresses and URLs. Additionally, traditionally hard-to-detect threats such as unauthorised internal accounts can be identified. 

Businesses can employ myriad options for threat monitoring, from data protection platforms with threat monitoring capabilities to a dedicated threat monitoring solution. However, while implementing threat monitoring is a crucial and necessary step to securing your cloud environments, IT leaders must recognise that a robust security programme comprises a multi-layered approach utilising technology, tools, people and processes. 

Download our Cloud Security Assessment Checklist and discover proven strategies to strengthen your defences in our comprehensive guide.

Cloud innovation trends: Why optimisation must come first

In the race to modernise, many businesses make a critical mistake: innovating before optimising their cloud infrastructure. It’s an easy trap to fall into – new technologies promise speed, agility and competitive advantage. However, without a solid foundation, those promises can quickly unravel.

So, what difference will optimisation make to cloud innovation? How do complex hybrid environments affect optimisation and what are the repercussions of innovating too soon?

Why optimisation should come first

Cloud optimisation isn’t just a technical exercise – it’s a strategic imperative. Before you invest in AI-driven tools, advanced analytics or multi-cloud deployments, you need to ensure your existing environment is efficient, secure and cost-effective. Otherwise, innovation becomes a gamble rather than a growth driver.

How the complexity of hybrid environments affects optimisation

Modern IT landscapes are rarely simple. Most organisations operate in hybrid environments, combining:

• Cloud-native workloads
• Semi-native applications
• Containerised services
• Legacy systems migrated via IaaS.

This mix introduces complexity that can quietly erode ROI and performance. Without optimisation, you risk inefficiencies that undermine every future initiative.

Common pitfalls of innovating too soon

When businesses rush to innovate without first optimising, they often encounter:

Duplicated workloads

Hybrid setups frequently lead to duplication of environments or services, especially when containerised and legacy systems overlap with cloud-native tools. This consumes bandwidth and burdens IT and DevOps teams with managing multiple versions of the same workload.

Latency issues

Poor workload distribution across cloud environments increases latency, slowing response times and masking compliance or security issues. For customer-facing applications, this can directly impact user experience and brand reputation.

Security saps

Unoptimised containerised and legacy workloads are vulnerable to governance and compliance risks. Differences in data storage and flow between environments complicate tracking, while unresolved legacy issues can carry over post-migration.

Mounting costs

With up to 30% of cloud spend wasted, inefficiencies inflate monitoring and security costs, draining budgets that could fund innovation.

Why this matters now

Cloud strategies are under pressure to deliver more – faster, cheaper and greener. Without optimisation, businesses risk inefficiency, higher costs and vulnerabilities that stall progress. In an industry where every second counts, building on shaky ground isn’t just risky, it’s expensive.

How to get started

Before chasing the next big trend in cloud innovation, take time to:

• Audit your current architecture: Maintain visibility by understand what’s running, where and why.
• Identify duplicated workloads and inefficiencies: Determine whether any services or resources are the cause behind draining budgets.
• Align resources with business priorities: Ensure any spending on cloud innovation drives value for the business.
• Implement governance and security best practices: Establishing best practices early on will ensure that innovation is scaled effectively.

This foundation ensures innovation is sustainable, not just a short-term fix.

The CACI approach: Building a cloud that enables innovation

Ready to build a cloud foundation that enables innovation?

Don’t leave your cloud strategy to chance. Our specialist cloud architects and optimisation experts have helped leading organisations modernise, streamline and unlock innovation without compromise. Contact us today to start your cloud optimisation journey.

Cloud adoption is no longer seen as a means for storage, but a foundation for intelligent business capabilities. Businesses that have adopted the cloud are able to reap benefits far beyond cost savings, enhancing operational flexibility, enabling faster disaster recovery and much more. In the first blog of our cloud security series, we explore the key advantages of cloud adoption. 

Flexibility

Cloud infrastructure is the key to operational agility, allowing you to scale up or down to suit your bandwidth needs. The pay-as-you-go model offered by most cloud service providers (CSPs) also means that you pay for usage rather than a set monthly fee, making IT spending a more manageable operational expense. The ability to scale resources according to demand also ensures performance will be optimal during peak times and eliminate waste during downtime. 

Reduced cost

Kind to your cash flow, cloud computing cuts out the high hardware cost. The availability of the aforementioned pay-as-you-go models can significantly cut costs. Not to mention the cost-savings of reduced resources, lower energy consumption and fewer delays.  

Disaster recovery

From natural disasters to power outages and software bugs, if your data is backed up in the cloud, it is at a reduced risk of system failure as the servers are typically far from your office locations. You can recover data anywhere to minimise downtime by logging into the internet’s cloud storage portal. 

Accessibility

We’ve all heard that the office is dead. Workers want the ability to work anytime, anywhere. With cloud (and an internet connection), they can. The cloud enables workforces to be distributed through secure access to data and applications from any location, which is critical in today’s hybrid working world. 

Greater collaboration

Cloud infrastructure makes collaboration a simple process, changing the parameters of how and where teams can work. The cloud can drastically improve workplace productivity, from online video calls to sharing files and co-authoring documents in real-time. It offers a centralised, secure and real-time working environment that bolsters communication and helps streamline workflows. These cloud-native applications are designed to make our lives more efficient through greater collaboration.  

Strategic value

Ultimately, businesses that have adopted the cloud typically experience greater cost efficiencies, faster speed to market and enhanced service levels. Adopting the cloud not only reimagines business models and builds resilience but also enables organisations to be agile and innovative. For example, adopting DevOps methodologies can be an essential element for businesses looking to get ahead of their competitors. 

But what about security? Earlier this year, a reported 61% of organisations felt security and compliance were their primary barriers to cloud adoption. Rushed application and the resulting lacklustre security have only intensified security concerns as cybercriminals increasingly target cloud environments. 

Download our comprehensive guide to cloud security and start securing your cloud today.