Public sector & defence
AI for public sector & defence
Public sector and defence organisations cannot adopt AI on the terms a commercial cloud offers — the data is too sensitive and the accreditation too demanding. Integrated AIS deploys AI inside your own security boundary, on-premises or fully air-gapped, so the capability arrives without protectively marked information ever leaving your control.
The public sector and defence constraint
Government bodies, defence organisations and the suppliers who serve them work with data whose handling is governed by classification, national jurisdiction and formal accreditation — constraints that a public AI service is structurally unable to satisfy. Sending protectively marked or operationally sensitive information to a commercial model provider is simply not an option, and no contractual assurance changes that.
The consequence is that many organisations that would benefit most from AI have been least able to adopt it. The route through is to bring the model inside the boundary — under the same accreditation, access controls and change discipline that already govern mission-critical systems.
Built for accredited environments
These environments do not move at start-up speed, and the deployment has to respect that: hardware and network constraints, formal accreditation, and change control that cannot be short-circuited. We design for that reality rather than against it — zero-egress architecture, controlled update and re-accreditation processes, and every runtime dependency accounted for inside the enclave, so nothing calls out silently.
Where the requirement is a full air gap, we build it with no network path to the outside world at all; where a less extreme architecture satisfies the classification, we say so rather than over-engineering. The aim is an AI capability your security and accreditation functions can formally sign off, not one they must treat as a standing exception.
How we deliver it
We assess the data classification, network boundaries and accreditation regime the deployment must satisfy; architect the topology around zero egress and least-privilege access; install and harden it inside your infrastructure; and provide the ongoing patching, monitoring and re-accreditation support that keeps it compliant as it evolves. The work is deliberately vendor- and model-neutral — we deploy the right model for your constraint, not one we need you to buy.
This sits inside our broadersecure deployment capabilityand oursecurity posture, and uses the sameair-gapped andon-premises LLM deployment patterns, adapted to the accreditation your programme mandates.
Common questions
Can public sector and defence organisations use AI without a public cloud?
Yes. AI can be deployed on infrastructure the organisation controls — on-premises or fully air-gapped — so that protectively marked and sensitive data never traverses a public network or reaches a commercial provider. The model runs inside your existing security boundary and accreditation regime. For classified environments a full air gap with no external network path is the norm; the architecture is chosen to match the classification, not the other way round.
How does an air-gapped or on-premises deployment fit existing accreditation?
It is designed to. We work within your security architecture, hardware and approval processes rather than asking you to adopt new infrastructure to accommodate the AI. That means mapping the deployment to the accreditation regime it must satisfy from the outset, and planning the re-accreditation path for updates, so the result is something your security function can formally sign off rather than treat as an exception.
How do you handle clearance and accreditation for sensitive programmes?
Clearance and specific accreditation requirements are established per engagement and confirmed before work begins, rather than assumed — we are candid about what a given programme needs up front. What we bring to the table is the engineering discipline these environments demand: zero-egress design, controlled update and re-accreditation processes, and a security-first approach that expects formal sign-off, all delivered within whatever clearance and framework the programme mandates.
What can AI realistically do in a defence or public sector context?
The dependable value is in reducing manual load on information-heavy work that must stay inside the boundary: retrieving and summarising internal material, drafting and reviewing documentation, and accelerating analysis over data that cannot be sent outside. We are deliberately conservative about autonomy where decisions carry operational or public accountability, designing AI to inform and assist a responsible human rather than to act unsupervised.
Read further
In-depth writing on secure AI in high-assurance environments:
Talk to us about a secure deployment
If your organisation needs AI that stays inside your accreditation and never touches a public network, we can help you establish what your classification requires — and build it.
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