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Digital Transformation & Innovation
June 17, 2026
Balancing Security and Innovation: Digital Transformation in Defence
Defence organisations face a hard balance. They are under more pressure to modernise than at almost any point in recent memory, with far less room to get it wrong. For most, transformation is already underway. The real question is how to do it without compromising the security and reliability on which the mission depends on.
The threat picture has sharpened. Adversaries are exploiting the same technologies that promise advantage, and much of the underlying IT estate was built for a different era. In December 2025, the head of digital strategy at UK Defence Digital described the data held by UK forces, and the networks carrying it, as "exceptionally vulnerable".
The challenge lies in doing the work inside classified environments, under procurement frameworks built for hardware rather than software, and across a culture where caution is a professional instinct for good reason.
The case for digital transformation in defence
Legacy IT is the most visible problem, and the most expensive to ignore. Ageing systems are harder to defend, harder to integrate, and slower to change. In mission-critical environments, the consequences of failure are severe.
Two recent UK incidents show what is at stake.
In 2023, a single edge-case flight plan caused NATS, the UK's air traffic control system, to shut itself down for safety. More than 700,000 passengers were disrupted, at a cost estimated above £100m.
In 2017, the WannaCry attack spread through unpatched legacy Windows systems and hit around a third of NHS trusts in England, cancelling roughly 20,000 appointments and operations.
Neither was a defence incident. Both show what happens when critical systems are not modern, resilient and defensible.
The operational case is just as strong. Faster access to trusted data means quicker, better-informed decisions, from headquarters to the tactical edge. The MoD's Digital Strategy for Defence set out to build a "digital backbone" for sharing data securely across domains, backed by an additional £1.6bn of investment.
The intent is clear. Delivery is where it gets hard, because the constraints are specific to defence:
· Classification limits what can move, and where.
· Procurement cycles can outlast the technology they were meant to buy.
· Compliance is non-negotiable.
· Cultural inertia, often rooted in legitimate risk aversion, slows adoption.
The task, then, is less about ambition and more about sequencing: structuring the work so that security and operational continuity are preserved at each step rather than traded away for pace.
Military cybersecurity solutions for a modern threat environment
The evolving cybersecurity threats facing defence organisations
The threat has moved well beyond the opportunistic. Nation-state actors and advanced persistent threats now operate with patience and sophistication, and the tooling available to adversaries has improved sharply. Supply chain compromise has become one of the most exploited routes in, because a single trusted supplier can offer the access a hardened perimeter never would. In 2025, British Army personnel stationed in Latvia reported near-daily electronic warfare disruption originating from across the Russian border, a reminder that the contest is active rather than theoretical.
Insider risk and access management add a further layer. In environments with multiple clearance levels and strict need-to-know rules, controlling who can see what, and proving it after the fact, is a serious engineering problem in its own right. The perimeter-based model, which assumed everything inside the network could be trusted, no longer holds up.
Zero trust architecture for defence organisations
Zero trust represents a shift in the underlying assumption. Rather than extending trust to anything inside the network, it assumes none by default, and rests on three broad principles:
• Verify always.
• Grant least privilege.
• Assume breach.
This means every user, device, and request is authenticated and authorised on its own merits, regardless of location.
For defence, the appeal is obvious, but the implementation is demanding. Networks are heavily segmented, classification boundaries are strict, and identity has to function across domains that were never designed to interoperate. In practice, zero trust is a multi-year programme spanning identity, device posture, micro segmentation, and continuous monitoring, rather than a capability that can simply be switched on.
This is the kind of work Ntegra’s Cloud Centre of Excellence supports with UK Government security-cleared engineers, designing for these constraints from the outset rather than retrofitting them later.
Secure cloud adoption in defence
Cloud in a classified context is a different discipline from commercial migration. Accreditation, data sovereignty, and the handling of sensitive information all shape what is possible.
The UK uses the Government Security Classification system, OFFICIAL, SECRET and TOP SECRET, and the MoD's MODCloud acts as the approved front door for cloud services across those levels. Hyperscale services are well established at OFFICIAL, and the harder work now is extending secure, accredited capability to SECRET and TOP SECRET data.
The cost discipline is real too: UK Defence guidance notes that managing SECRET information is at least ten times more expensive than OFFICIAL, which makes getting classification right an architectural decision, not an afterthought.
The risk to manage is migration itself. Moving from on-premise legacy systems to the cloud without disrupting live operations takes careful sequencing, strong rollback planning, and environment design that holds up to accreditation. Ntegra's CCoE team, including cleared engineers, supports secure onboarding and environment design built for these conditions. Running controlled change in high-trust settings is a discipline in its own right, something we explore with Defended Solutions in our joint series piece on responsible innovation in high-trust sectors.
AI and data analytics in defence intelligence systems
Turning information into operational advantage
Defence has no shortage of data. The challenge is making it usable at speed. AI and machine learning are increasingly applied to surface patterns and support situational awareness across feeds that no human team could process in time, often by aggregating information from disparate and previously siloed legacy sources.
The clearest large-scale proof point so far comes from the US Maven programme, which uses AI to fuse imagery and sensor data from drones, satellites, and other sources. Now run as a geospatial intelligence capability by the National Geospatial-Intelligence Agency, it reportedly has around 20,000 active users across more than 35 tools and three security domains and has measurably reduced targeting times in exercises. NATO adopted its own version, the Maven Smart System, under a contract signed in 2025.
The UK is pursuing the same outcome on its own terms, with the MoD's commitment to exploit data as a strategic asset through its digital backbone and dedicated analytics capabilities.
The opportunity is speed and scale. The risk is accountability. In defence, an AI output that cannot be explained, audited, or traced back to a clear chain of human judgement is a liability, however fast it arrives. The value comes from pairing the speed with the controls.
Modernising legacy systems in defence organisations
The familiar barriers are outdated infrastructure, data trapped in silos, skills gaps and procurement cycles that move slowly. None of these is solved by a single platform.
Phased modernisation tends to work better than wholesale replacement. It manages delivery risk and protects operational continuity by changing one well-understood part at a time. Interoperability matters throughout, because defence rarely operates alone and systems need to work alongside allied, partner and cross-government counterparts.
Getting the starting point right is often the hardest part. Ntegra’s Digital Start programme helps defence organisations assess their current state and build a credible transformation roadmap before committing to full delivery, which reduces the chance of expensive course corrections later.
Data governance in classified and multi-classification environments
Managing classified data at scale, across teams holding different clearance levels, is where good intentions meet hard constraints. Access controls have to be precise, audit trails complete, and compliance with government security frameworks demonstrable rather than assumed. A data platform in this setting has to serve operational tempo and strategic decision-making at the same time, without opening new risks in the process. The discipline is as much about governance design as it is about the underlying technology.
Building a realistic roadmap for defence digital transformation
A credible transformation usually begins with an honest appraisal of IT maturity, security posture, and organisational readiness, undertaken before any roadmap is drawn up. From there, it tends to make sense to prioritise the use cases offering high operational impact at manageable delivery risk, sequenced so that early successes build the confidence needed for more demanding work later.
Partner choice carries particular weight in defence. Experience of cleared delivery, accredited environments, and the realities of working at classification is difficult to acquire on the job. Ntegra, now part of the Actica Group, has delivered for organisations including the MoD and Dstl, and our work reflects that record.
Two factors often separate programmes that succeed from those that stall. The first is treating change management as integral from the outset rather than an afterthought. The second is building internal capability as the work progresses, so that the organisation is left more self-sufficient once the engagement concludes.
Ultimately, success is best judged against the measures that matter to the mission: operational efficiency, security outcomes, mission readiness, and the capability developed within the organisation itself.
Frequently asked questions
What are the biggest cybersecurity threats facing defence organisations today?
The most significant tend to be nation-state actors and advanced persistent threats, supply chain compromise, and insider risk in multi-clearance environments. Each exploits trust in a different way, which is why perimeter-based defence on its own is generally no longer sufficient.
What is zero trust security and how does it apply to defence IT environments?
Zero trust assumes that no user or device is trusted by default. Every request is verified, access is limited to the minimum needed, and the system is designed on the assumption that breaches will occur. In defence, it has to operate across strict classification boundaries and heavily segmented networks, which makes it a multi-year programme rather than a quick fix.
How are AI and data analytics being used in defence?
Primarily to process large volumes of imagery, sensor, and intelligence data faster than human teams can manage, supporting situational awareness and decision-making. Programmes such as the USMaven system illustrate both the speed gains on offer and the importance of keeping outputs explainable and auditable.
What are the main challenges of cloud adoption in the defence sector?
The principal challenges are accreditation, data sovereignty, and the secure handling of classified data. Hyperscale cloud is well established at lower classifications, and the harder work lies in extending accredited capability to more sensitive data without disrupting live operations.
How do defence organisations manage digital transformation without disrupting live operations?
Typically, by modernising in phases, beginning with an honest assessment of the current state, prioritising manageable high-impact use cases, planning carefully for migration and rollback, and building internal capability throughout.
