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Defense & National Security: governed AI
Governed AI for Defense & National Security

Autonomous agents for Defense & National Security, under control.

Classification-aware agent teams that run under policy, up to TS/SCI, with CAC/PIV identity and air-gap deployment.

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What governed AI changes

Autonomy you can put into production.

The gap between a demo and a deployment in defense is governance. Trunnion closes it with policy, approval, and audit built into every run.

Policy-aware by design

Policy-based access control can scope what agents may see and do in defense; the implemented policy is verified per release.

A human stays in command

Consequential actions pause at an approval gate. Agents propose the work; your team decides what executes.

Reviewable records by design

Record coverage, supporting traces, integrity, and replay are verified for the exact release.

Deploys where you operate

Run in cloud, on-premise, or fully air-gapped, matched to the compliance posture of the vertical.

Why defense is different

Classification, not efficiency, is the binding constraint.

In defense and national security the hard problem is not whether an agent can do the work, it is whether it can be permitted to. Material carries classification levels and need-to-know restrictions, identity has to trace to a real credential rather than an application account, and an accreditation reviewer will ask how the system enforces both. Aggregation makes it harder: individually unremarkable facts can combine into something that warrants protection, and an agent that reads widely and summarizes is an efficient aggregator. Classification therefore has to be an enforced input to every access decision and has to propagate to anything derived from classified sources, not sit alongside the data as a label.

A worked example

One governed run: an intelligence summary request.

Every step below is enforced by the control plane rather than left to convention. This is what a governed run looks like end to end in defense.

  1. An analyst requests a summary across several holdings. The mission is composed from declared agent roles rather than assembled ad hoc, so the run is reproducible.

  2. Each read is evaluated against the analyst's clearance and the classification of the source. Sources above the operating level are not silently omitted; the denial is recorded.

  3. A retrieval agent and an analysis agent hold separate permission sets. The analysis agent can read the retrieved material and cannot reach the source systems directly.

  4. The draft summary inherits the handling requirements of its highest-classification input rather than defaulting to the workflow's level.

  5. Release outside the enclave is a consequential action, so it pauses at an approval gate for a named operator with the authority to make that call.

  6. The release is designed to retain sources touched, policy decisions, supporting trace, approver, and release decision. Coverage, integrity checking, and replay are verified for the contracted release.

Use cases

Where teams start.

The pattern that works is a workflow that is genuinely repetitive, has a clear owner, and fails reversibly. Governance goes in on day one, not after the pilot succeeds.

Mission planning support

Agents assemble planning inputs from authorized systems, with every source access checked against clearance and recorded for the after-action review.

Intelligence summarization

Multi-source summarization where derived products carry forward the handling requirements of their inputs instead of losing them.

Acquisition and program support

Governed drafting and review of program documentation, with human approval before anything leaves the enclave.

Readiness and logistics reporting

Recurring reporting assembled by agents, with the audit record standing as the evidence of how each figure was produced.

The product

DAF

Classification-aware agent teams for defense operations, with CAC/PIV identity traceability, air-gap deployment, and human approval on every consequential action.

DAF: Governed agent workflows for defense and national-security missions.
DAF · Defense & National Security

Governed agent workflows for defense and national-security missions.

  • Runs on the governed Trunnion control plane
  • LLM-agnostic model routing
  • Cloud, on-premise, or air-gapped deployment
Key facts

Defense & National Security, at a glance.

DeploymentCloud, on-premise, or fully air-gapped
ClassificationClassification-aware workflows up to TS/SCI
IdentityCAC and PIV identity traceability
AlignmentDesigned to align with NIST SP 800-53 control families
Agent patterns150 or more pre-built patterns shipped
FAQ

Defense & National Security questions.

Can Trunnion operate in a classified environment?

The control plane supports classification-aware workflows up to TS/SCI, with CAC and PIV identity traceability and fully air-gapped deployment where no outbound connection is permitted. The accreditation posture of any specific deployment is determined by that environment's authorizing official, not by the platform.

Does Trunnion hold an ATO or FedRAMP authorization?

No, and it would be wrong to imply otherwise. Trunnion is engineered to align with NIST SP 800-53 control families and is designed to be deployable within accredited environments. Authority to Operate is granted to a specific system in a specific environment by an authorizing official.

How does identity work without an external identity provider?

Authentication binds to credentials the environment already issues, including CAC and PIV, so clearance attaches to a verified identity rather than an application-local account. In a disconnected enclave there is no external provider to call, which is why this is architectural rather than configurable.

What stops an agent from aggregating its way into a problem?

Two controls. Classification is evaluated on every individual read rather than once per session, and output derived from classified inputs inherits their handling requirements. An agent cannot assemble a product whose sensitivity nobody assessed.

Get started

Bring governed AI to Defense & National Security.

See the control plane run a defense workflow, in your environment, from cloud to air-gap.

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