Use casesDefence and national security

Sovereign AI control plane for defence and national security.

A secure, sovereign AI control plane for defence and national security teams that need auditability, explainability, strict access control and robust guardrails for mission-sensitive workflows.

Data security Safe data access

Classified data remains inside sovereign boundaries and air-gapped military infrastructure.

Governance Strict access control

Identity, clearance level and region-scoped rules determine every interaction and evidence retrieval.

Trust Audit and explainability

Append-only, cryptographic logs prove how and why each AI decision was made.

The sovereign AI mandate for defence

Modern national security operations demand rapid intelligence synthesis, but public cloud APIs and standard open-source wrappers introduce unacceptable risk. Strategic intelligence, troop telemetry and classified border logs must stay inside secure, air-gapped military networks. Federis provides the governance layer that lets command networks deploy advanced LLMs on local, secure GPU nodes without risk of data exfiltration, unauthorised access or ungrounded recommendations.

Tactical intelligence synthesis with classification ceilings

Intelligence analysts process vast streams of unstructured reports, intercept logs and satellite summaries. Federis gates this workspace with attribute-based access control: a user's security clearance is mapped through OPA to data source tags.

1.1

Role-based gating

Analysts with SECRET clearance can only query documents at or below their clearance ceiling.

1.2

Restricted retrieval

The retrieval fabric excludes TOP SECRET documents dynamically at query time.

1.3

Unified decision trace

OPA evaluates the request context and returns a deterministic ALLOW or DENY decision before inference starts.

Command and control operations room decision support

In operations centres, commanders query status reports, weather metrics and equipment inventories. Federis enforces guardrails that check model output against active situational databases, preventing dangerous hallucinations and unsupported operational advice.

2.1

Hallucination shield

Post-inference validation gates answers against approved situation briefs and rejects responses below the configured grounding confidence threshold.

2.2

Safe refusal mode

If grounding confidence drops below the threshold, the system fails closed with a standard safe refusal.

2.3

Append-only logs

Operational prompts, system prompts, retrieved context and generation parameters are written to the cryptographic audit vault.

Border operations telemetry and sensor integration

AI-assisted summaries of threat feeds and radar telemetry at remote outposts need resilient, local execution. Federis runs its inference fabric on restricted, hardware-constrained local GPU lanes, with routing rules that block outbound internet connections.

3.1

Air-gapped LAN execution

Inference runs entirely inside the secure local network boundary, with no external dependencies.

3.2

Pluggable local storage

Retrieval pulls evidence from local document repositories indexed in vector databases such as Milvus or Qdrant.

3.3

mTLS service gating

Every pipeline component authenticates with SPIFFE and SPIRE workload certificates, which prevents side-channel spoofing.

Deployment fit

Bring governed AI to defence.

Talk to us about your environment. We will walk through the control plane against your workloads, data boundaries and audit requirements.

  • Zero data egress
  • Any model, any cluster
  • WORM audit vault