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COALITION OPERATIONS, EXERCISES & ALLIED DATA SHARING

Sovereign AI for NATO & Allied Forces

Allies fight together and keep their data apart. The platform gives a coalition one picture and one set of agents while each nation keeps its data, its releasability rules and its own infrastructure.

Releasability per nation

Each nation publishes what it authorises, at the level each partner may see. The common picture exists without a common pool.

Standards-aligned models

National data is mapped to shared ontologies aligned with standard data models where they exist, so tracks, orders and reports mean the same thing to everyone.

Disconnected by design

The full platform, including models and agents, runs on classified coalition networks with no outbound dependency.

IN PLAIN TERMS

Interoperability is decided in the data: whether two nations' tracks, orders and reports can be understood together, whether one nation can release a layer to another without pooling everything, and whether the lesson from the last exercise reaches the next one. The platform aligns each nation's data to shared models, fuses it into a common picture at the releasability each nation sets, and runs on infrastructure the host nation controls, disconnected where classification requires.

Read this if you're working on command and control, ISR, exercises or data interoperability in a national defence organisation, a NATO command or agency, or a multinational formation.


WHAT THE PLATFORM DOES HERE

For NATO and allied forces, Scrydon is the sovereign AI and data platform that aligns national data to shared models, fuses it into a common operating picture with per-nation releasability, orchestrates agents across domains and nations, and turns exercises into structured, comparable lessons, all on infrastructure the host nation controls.

It runs air-gapped for classified networks, on a nation's own infrastructure or in a sovereign cloud, and the same platform serves a national headquarters and a coalition cell, which is what makes a coalition deployment accreditable.

THE COALITION'S PROBLEM

Same mission, different data, and rules on what can be shared

Allies fight together and keep their data apart, and both halves of that sentence are non-negotiable. A coalition headquarters receives tracks, orders and reports in a dozen national formats and builds the common operating picture by hand, so the picture lags the fight. What a nation may share, with whom and at what level is a releasability rule, not a preference, and pooling raw national data into one system is not an option any nation will accept.

Exercises are where interoperability is actually tested, and where the evidence of what did not work is produced, in each nation's own logs, which each nation then takes home. The after-action review is written from memory weeks later and the lesson rarely reaches the next exercise. Underneath all of it, coalition networks are classified and disconnected: any AI that needs to reach an external service is excluded before the conversation starts.

And the Alliance is not only a warfighting structure. NATO is an enterprise of tens of thousands of people across a headquarters, two strategic commands, a set of agencies and centres of excellence spread over dozens of countries, and it runs on those same classified networks: procurement and contracting, personnel and postings, facilities and asset management, policy drafting and committee papers in two official languages, and a body of knowledge no one person can hold. That work has the same data problem as the operational picture, since the answer sits in several systems, in several nations, at several classifications, and it is where a platform earns its place between deployments.

  • A dozen formats for one pictureTracks, orders and reports arrive in national formats; the common operating picture is built by hand and lags the fight.

  • Releasability decides everythingWhat a nation may share, with whom and at what level is a rule, not a preference. Pooling raw data is not an option.

  • Lessons that do not travelExercises produce the evidence of what did not interoperate, and each nation takes its logs home.

  • Networks that cannot connectCoalition networks are classified and disconnected. Any AI that needs to phone home is excluded from the start.

  • An alliance is also an organisationA headquarters, two strategic commands, agencies and centres of excellence across dozens of countries run procurement, personnel and policy work on the same classified networks.

ON THE PLATFORM

Align, release, fuse, act

The platform aligns each nation's data to a shared ontology, aligned with standard data models where they exist for tracks, orders and reports, and mapped from national systems without changing them. A data space then applies each nation's releasability rules per layer and per partner, and logs every release. The common operating picture is fused from released layers on infrastructure the host nation controls, never from a pooled copy of national data.

On that picture, orchestrated agents retask collection and draft orders across domains and nations, each under an identity scoped to a nation and a system set, and every order passes a recorded human approval. After an exercise, the same model replays tracks, orders, messages and observer reports second by second, compares observed timings with the plan and records findings against the exact moment they happened, so the lesson is structured, tracked to the next exercise and comparable across them.

  1. 1

    Align

    Each nation's data is mapped to a shared ontology aligned with standard data models where they exist, without changing national systems.

  2. 2

    Release

    A data space applies each nation's releasability rules per layer and per partner, and logs every release.

  3. 3

    Fuse

    Released layers fuse into one common operating picture, on infrastructure the host nation controls, disconnected where required.

  4. 4

    Act and learn

    Agents retask collection and draft orders under human approval across domains and nations; exercise data replays into structured lessons.

WHY SOVEREIGN

Interoperability without giving anything up

Interoperability on the platform does not ask any nation to give anything up. National data stays on national infrastructure; what crosses to the coalition is a released layer, not a copy of the source. The coalition platform runs on the host nation's infrastructure, under its accreditation, air-gapped for classified coalition networks, with open-weight models served locally and no external dependency of any kind.

It is the same platform a nation runs at home, from the national headquarters to the coalition cell, which is what keeps accreditation tractable: one stack, one governance model, one evidence set, and no gap between what was tested nationally and what runs in the coalition. Agents carry national-scoped identities, every action is attributed to a nation and a system, and the ISO 27001 control set and the audit log are produced by running the platform rather than assembled for the accreditor.

  • Each nation keeps its dataData stays on national infrastructure. What crosses to the coalition is a released layer, not a copy of the source.

  • Host-nation controlThe coalition platform runs on the host nation's infrastructure, under its accreditation, with no external dependency.

  • Agents with national scopeAn agent acts under an identity scoped to a nation, a domain and a set of systems, and every action is attributed.

  • Same platform at home and in the coalitionOne stack from the national headquarters to the coalition cell, which is what keeps accreditation tractable.

NATO'S OWN STRATEGY

What the Alliance means by AI-ready data and data-centric security

NATO's 2025 Data Strategy and 2024 AI Strategy converge on a unified vision: by 2030, quality data and AI adoption will enhance interoperability and accelerate capability development across the Alliance.

Data & AI Integration:

  • Quality Data as Foundation: AI-ready, trusted data without unintended bias is prerequisite for secure, reliable AI systems
  • AI Adoption: Accelerate AI use cases across NATO Enterprise adhering to Principles of Responsible Use (Lawfulness, Accountability, Explainability, Reliability, Governability, Bias Mitigation)
  • Interoperable Capabilities: Nations manage data domains whilst AI systems operate seamlessly across coalition boundaries

Enabling Infrastructure:

  • NATO Digital Backbone and ADSE enable federated data ecosystems
  • Testing, Evaluation, Validation facilities determine safe AI deployment under operational conditions
  • Workforce development in data literacy and AI talent to support human-machine teaming

Data Quality:

The Alliance's Data Quality Framework (August 2025) puts a name to what "AI-ready" has to mean before an analytical tool can be trusted: seven measurable dimensions — accuracy, completeness, consistency, uniqueness, timeliness, validity and granularity — assessed with provenance and lineage, so fitness for a particular use can be argued rather than assumed.

Those are properties of a data platform, not of a model. Ontology-based entity resolution is how consistency and uniqueness stop being a reporting problem; continuous fusion is how timeliness survives contact with live feeds; data governance is where lineage, validity rules and classification live — and every fused value keeps a trace back to its originating source and timestamp. See AI-ready data for how that is put together.

Data-Centric Security:

The Alliance is moving protection from the network to the data itself. Under STANAG 4774 a confidentiality label is expressed as machine-readable metadata, and under STANAG 4778 that label is cryptographically bound to the data it describes — so classification and national caveats travel with an object across domains, coalitions and clouds, and access is decided by policy against the label rather than by which network someone happens to be on.

That is the same principle this platform is built on: meaning and classification live with the data in the ontology, access is decided per request against policy and identity — including for AI agents — and every decision leaves an auditable record. It is what makes an air-gapped enclave and a shared coalition data space two settings of one model rather than two different systems.

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Use cases

Use cases for NATO and allied interoperability

Coalition command, ISR, exercises, allied data sharing and the Alliance's own back office on one sovereign platform.

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.

Multi-Domain Agent Orchestration

Joint Operations

Challenge

ISR, cyber, logistics and fires each run their own point-solution agents, so no one can coordinate them into a single, deconflicted plan of action.

Solution

A governed orchestration layer coordinates specialised agents across domains, sequencing hand-offs and resolving conflicting recommendations before they reach a commander.

Read more

Deconflicted, joint courses of action assembled in minutes instead of being manually reconciled across domain silos.

Single Source of Truth for Personnel & Assets

Force Management

Challenge

Personnel records, equipment status and unit rosters live in half a dozen legacy systems that don't agree with each other, so a simple question like "which units have this equipment operational today" takes a manual reconciliation exercise.

Solution

An ontology models personnel, equipment and units as entities once, mapped from every source system, so "this unit" or "this asset" means the same thing everywhere it's referenced.

Read more

Force readiness questions that used to take a data call across multiple systems now resolve instantly against one consistent model.

Multi-Domain Common Operating Picture

Command & Control

Challenge

Land, maritime, air, space and cyber each maintain their own C2 system and their own picture, so a joint commander is handed five separate briefings to reconcile by hand rather than one coherent view of the battlespace.

Solution

Sensor and track data from every domain is fused into one ontology-grounded common operating picture, so the same entity seen by a satellite, a radar and a cyber sensor resolves to a single track every domain shares.

Read more

One authoritative cross-domain picture instead of five stovepiped ones, updated in real time and controlled entirely by the force that owns it.

Sensor-to-Effect Decision Support

Joint Fires

Challenge

The chain from a sensor detecting a time-sensitive target to a commander approving an effect crosses several systems and staff cells, and every manual hand-off adds delay against a target that may not stay in place.

Solution

Decision intelligence connects the fused track picture directly to the next step — matching a detection to available effectors, checking rules of engagement and constraints, and staging a recommended pairing for a human to approve or reject.

Read more

The sensor-to-effect timeline compressed from many minutes of relayed coordination to a single reviewed decision, with the full reasoning preserved for after-action review.

Coalition C2 Data Sharing

Combined Operations

Challenge

Allied forces in a combined operation need a shared picture, but no nation will pool raw intelligence and targeting data into a common database it does not control, so sharing collapses to slow, manual, lowest-common-denominator releases.

Solution

Each nation keeps its data in its own sovereign domain and exposes only governed data products, so partners query agreed releasable tracks and products in place — sharing the picture without surrendering the underlying data.

Read more

A genuinely shared coalition picture that respects every nation's releasability rules, with no central database any single partner has to own or trust.

FAQ

Frequently asked questions

How does the platform handle NATO and national releasability rules?+
Through a data space in which each nation publishes the layers it authorises, per partner and per classification level, and every release is logged. The common picture is built from released layers, never from a pooled copy of national data.
Which standards does the shared data model align with?+
The platform's ontology is aligned with standard data models where they exist for tracks, orders and reports, and mapped from national systems without changing them. The ontology-based data platform page explains how such mappings are built and maintained.
Can it run on a classified coalition network with no internet?+
Yes. The full platform runs air-gapped, including open-weight models, retrieval and agents, with updates through the accredited channel and clearance enforced at retrieval.
How do agents work across domains and nations without breaking command authority?+
Agent orchestration routes tasks across domains under agent identities scoped to a nation and a system set, and every order or retasking passes a human approval step that is recorded.
Can exercise data from several nations be analysed together?+
Yes. Exercise tracks, orders, messages and observer reports are fused with data fusion onto a shared model of the exercise, each nation controlling what it contributes, so the after-action review replays events and records findings that carry to the next exercise.
Is the coalition deployment the same platform a nation runs at home?+
Yes, and that is deliberate: one platform from the national headquarters to the coalition cell means one accreditation model and no gap between what was tested at home and what runs in the coalition.
Does this cover NATO's own headquarters, commands and agencies, not just operations?+
Yes. The Alliance is an organisation of tens of thousands of people across a headquarters, two strategic commands, agencies and centres of excellence, and its procurement, personnel, facility and policy work runs on the same classified networks as the operational picture. The same platform serves both: agents prepare approvals, procurement cases and reports, retrieval answers from the Alliance's own documents at the reader's clearance, and a person decides. The defence departments and organisations page covers that back-office pattern in depth.
Do you partner on tenders and framework contracts?+
Yes, always. We are always looking to partner with primes, integrators and consortia on tenders, framework contracts and European programmes, as the sovereign AI and data platform inside a larger bid or as a specialist subcontractor. If you are preparing a bid, talk to us early.

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NEXT STEPS

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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.

Next webinar

How – Inside the AI OS: running governed agents on your own cluster, live

17 Sept 2026, 09:00

Part 2 of the Sovereign AI series, for engineers and architects. No slides after minute five: an agent gets an identity and scoped permissions, calls tools over governed MCP, retrieves from the ontology rather than raw tables, runs inside the sandbox and is stopped when it steps outside policy, and everything lands in the audit trail — then the same stack brought up on a disconnected network. Properties and refusals, shown rather than claimed.

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