Secure AI for
Defence
Sensors, intelligence, and logistics each live in their own system, so the operational picture is stitched together by hand — and the AI that could fuse them assumes a cloud connection classified networks must never make. That is the problem we solve: the AI OS fuses sensors, intelligence, and logistics into one Common Operational Picture, with frontier autonomous agents and predictive analytics running as a sovereign cluster inside your air-gapped, classified environments — at headquarters or deployed close to operations — with total data sovereignty on our European-native platform.
Air-Gapped Ready
Fully functional without internet connectivity. Run a sovereign cluster in your own data centre or deployed close to operations.
European Sovereignty
Built in Europe, for Europe. Runs fully on-premises or air-gapped, with no dependency on US hyperscalers or external APIs.
Zero Trust Architecture
Identity-aware agents with granular access controls and complete audit trails for every action.
Inside Defence
Defence is not one buyer. Each of these pages takes one part of it and describes the problem, what the platform does there and the rules that apply.
NATO & Allied Interoperability
For: working on command and control, ISR, exercises or data interoperability in a national defence organisation, a NATO command or agency, or a multinational formation.
Coalition operations and exercises: one common picture with per-nation releasability, agents across domains and nations, and lessons that carry from one exercise to the next.
- Releasability per nation
- Standards-aligned models
- Disconnected by design
Defence Departments & Organisations
For: leading personnel, logistics, procurement, finance, estates, digital transformation or IT in a ministry of defence, a headquarters, a defence agency or a service command.
Ministries, headquarters and agencies: the defence back office of personnel, logistics, procurement and finance, automated on classified networks with legacy systems wrapped and every decision accountable.
- One record of units, assets and people
- Legacy wrapped, not replaced
- Classified back office
During Missions
For: responsible for operations, command and control, ISR, targeting or the deployed IT that supports them, in a national headquarters, a deployed formation or a joint command.
Operations, command and control, ISR and the tactical edge: one common operational picture, a live battlespace twin and multi-domain agents under command approval, on disconnected networks.
- One operational picture
- Runs where the network cannot
- Effects need a signature
Defence Industrial Base
For: leading engineering, programme management, supply chain, security or IT at a defence prime, a system integrator or a supplier in the European defence industrial base.
Primes, integrators and suppliers: export-control-aware engineering assistants, programme digital threads and sub-tier supply-chain mapping inside the company's perimeter.
- Markings enforced, not advised
- A digital thread that queries
- Supply chain below tier one
The same thirty questions, read for classified networks and air-gapped operation.
Enterprise AI to production: the checklist
About thirty questions to put to your own team, grouped under grounding, governance, orchestration and sovereignty. Tick what is true for you today and see a score per dimension. One page, yours to print.
Capabilities for the Modern Battlefield
Proven use cases delivering asymmetric advantage through sovereign AI.
Tactical Edge Intelligence
Field Operations
Challenge
Commanders need real-time situational awareness from drone feeds and sensors, but bandwidth is limited and cloud connectivity is unreliable.
Solution
Deploy lightweight AI agents directly on tactical hardware to process video and sensor data locally, bringing data together in any situation.
Read more
Real-time threat detection with 99% bandwidth reduction and operation capability in denied environments.
Classified Document Analysis
Intelligence
Challenge
Analysts are drowning in terabytes of captured documents and intercepts, but data is too sensitive for public cloud LLMs.
Solution
On-premise Large Language Models (LLMs) ingest and summarise classified documents within the secure facility, identifying key entities and relationships.
Read more
Accelerated intelligence cycle, turning raw data into actionable intel in minutes instead of days.
AI Assisted Wargaming
Simulation
Challenge
Commanders need to test strategies against realistic opponents, but traditional wargames are slow, expensive, and limited in scope.
Solution
AI agents simulate complex, adaptive adversary behaviours in large-scale virtual environments, allowing for rapid iteration of tactical plans.
Read more
Rapid validation of operational plans and enhanced commander readiness through exposure to complex, unpredictable scenarios.
Back Office Automation
Administration
Challenge
Manual approval processes, procurement delays, and administrative burdens slow down operational readiness and consume valuable personnel hours.
Solution
Automate common approval use cases, procurement requests, and HR processes with intelligent agents that ensure policy compliance.
Read more
Streamlined operations allowing personnel to focus on mission-critical tasks rather than paperwork.
Enterprise AI for defence
In defence, enterprise AI is the half that rarely gets demonstrated: the AI that runs headquarters and the enterprise behind the mission — personnel and readiness, maintenance and spares, logistics and movement, procurement, intelligence production, and the staff work that turns a commander's question into a briefed answer. The data behind it is classified at several levels at once, spread across national systems never meant to be joined, and shared with allies only under release rules that have to hold.
It stalls because almost every AI product assumes a connection a classified network must never make, and because an accreditation authority cannot approve what it cannot inspect. A capability proven on an unclassified copy does not transfer to the network that matters.
Before it becomes operational, four things have to be true. The whole stack runs inside the enclave, as a sovereign cluster that stays useful air-gapped. Clearance follows the data rather than the user's login. Agents carry scoped identities, so every action is attributable to a named one. And while the EU AI Act carves out exclusively military use, the surrounding estate — personnel, procurement, maintenance, the defence industrial base — sits inside it and is governed accordingly. On those terms, enterprise AI is deployable in defence.
Keep an eye on this space
What changed for your sector in European AI sovereignty, and what we learned in the field. A few times a year, no drip campaign.
Your Data, Your AI, Your Control
Deploy the Scrydon platform where it makes sense for you — from air-gapped environments to public cloud — with sovereignty, compliance, and auditability built in.
Deployed on-premises, air-gapped or in a sovereign cloud, no data leaves your jurisdiction. No black-box AI. No compromises on control.
This is sovereignty by design.
What these outcomes actually run on
Everything above is delivered by one platform, deployable on disconnected networks and inside your own accreditation boundary. For the architects and engineers evaluating it, these are the pieces that matter.
Sovereign Foundations
The zero-trust foundation the whole platform sits on — the same stack from air-gapped to cloud.
Air-Gapped
The full platform running offline, on networks with no route to the internet.
AI OS
The runtime that maps a process to steps, routes each step to a system, an agent or a person, and gives it the context to act.
Identity
Federated identity and zero-trust access — for people and for agents, under the same policy.
Cognitive Enterprise
The ontology that links your systems, data and processes into one model of how the organisation actually works.
Data Spaces
Data shared across organisational boundaries without handing over ownership of it.
Laws and standards that matter for Defence
The regulations that decide whether AI can run on this data at all. Each page lists what the framework asks and which platform controls answer it — properties and refusals, not a checklist.
ISO 27001 · ISO/IEC 27001
Applies to: Any organisation that operates an information security management system — routinely required of software vendors, service providers and regulated enterprises by customers, regulators and procurement.
How the platform supports itAI Act · EU AI Act
Applies to: Applies to dual-use and civilian administrative AI. AI used exclusively for military, defence or national-security purposes is outside its scope (Art. 2(3)).
How the platform supports itISO 42001 · ISO/IEC 42001
Applies to: Any organisation that develops, provides or uses AI systems and wants a certifiable management system for doing so responsibly — providers and deployers preparing for the EU AI Act in particular.
How the platform supports itCRA · Cyber Resilience Act
Applies to: Manufacturers, importers and distributors of products with digital elements — hardware and software — placed on the EU market, including software vendors and the organisations that build connected products on top of them.
How the platform supports it
Read for classified networks: disconnected operation demonstrated, and the admin plane named in the contract.
“Sovereign” is not a label on a datasheet
It is five tests you can run against a live system. Score any vendor on jurisdiction, keys, operating staff, disconnected mode and exit — plus whether the offer covers all four layers, and whether each answer was demonstrated or asserted. Twelve questions, nothing leaves your browser.
Score a vendor- Jurisdiction
- Keys
- Operating staff
- Disconnected mode
- Exit
- Four layers
Run it once per name on the shortlist — including the incumbent, and including us.
Frequently asked questions
What is sovereign defence AI, and why does air-gapped deployment matter?+
Can the platform run fully air-gapped on disconnected or tactical networks?+
How does the platform support NATO interoperability and allied data sharing?+
How does AI-based data fusion work during missions?+
We have run AI pilots and POCs — how do we move to operational, organisation-wide AI?+
How are AI agents governed, attributed and audited?+
Does our data stay protected from the cloud or infrastructure operator?+
Which AI models can we use — frontier or open-weight on-premise?+
Can agentic AI coordinate multiple specialised agents across domains into one plan?+
Does the platform support a live digital twin of the battlespace or mission environment?+
Do you partner on tenders and framework contracts?+
Prefer to write? Email hello [at] scrydon.com and we will get back to you.
Keep going
Three routes from here: the rules you will be measured against, the platform these outcomes run on, and the sessions where we walk through them.
The rules that apply
Each regulation, what it asks, and the controls the platform provides for it.
The platform behind it
The AI Operating System, Analytics and Sovereign Foundations, page by page.
Every use case
All of them in one place, grouped by the sector that knows them best.
Scale – From personal AI to organisational AI: why copilots plateau, and what an AI operating system changes
13 Oct 2026, 09:00
Part 4 of the Sovereign AI series, for CIOs, COOs and the people who own processes and AI Centres of Excellence — in any sector. Personal AI raises the productivity of a person; organisational AI changes the outcome of a process. The gap is not a better model but four missing things: shared context (an ontology, not each person's chat history), governed action (agents that act on systems under policy), identity and permissions that follow the work across teams, and evidence a board or regulator will accept. A live contrast between a personal assistant and the AI OS on the same question, then one end-to-end process run by agents with people in the loop.
Partners
