Operators want the advantage AI gives, on the data that matters most. Globenova lets defence and intelligence teams use AI inside the enclave, so classified material is inspected at the wire and never leaves custody, and every decision is on the record.
Agentic AI now reaches across operational and intelligence data, but commercial platforms accept anonymous agent traffic and assume a commercial threat model. When an agent crosses a boundary, the operator is accountable, not the platform, and after-the-fact detection cannot recall a disclosure that has already crossed the wire. Sovereign work needs detection in the request path, inside the enclave, with caveats that survive across allied jurisdictions, and an immutable record an assessor can examine.
Every prompt, retrieval, tool call, and response your teams' AI makes passes through Sentinel first. It classifies what is flowing and who is handling it, then allows, redacts, blocks, or escalates in real time, and records every decision to a tamper-evident log. For sovereign work it inspects the prompt, the retrieval, the tool call, and the output, blocks or redacts classified content before it reaches an external model, preserves allied caveats, and records every decision for an assessor.
Forge generates high-fidelity synthetic data inside your environment, so models can be built and tested without the protected source ever leaving custody. Cleared teams generate synthetic training data from classified source for allied sharing, with caveats preserved and the source never leaving the enclave.
Globenova inspects the prompt, the retrieval, and the output, and blocks or redacts classified content before it reaches an external model, recording each decision.
A cleared team needs synthetic training data from classified source for allied sharing. Forge generates it inside the enclave, with caveats preserved, so the source never leaves custody.
Releasability caveats are carried through the record across allied jurisdictions, rather than relying on operational discipline alone.
Every decision is written to a tamper-evident log, so a security assessment can be substantiated by records from the period under review.
Globenova is built for these frameworks and is designed to support them in deployment. These statements describe what the platform is engineered toward, not a claim of certification by any regulator.
A short working session on where AI already touches classified and operational data, where you are accountable but blind today, and what Globenova would inspect at each point. Your environment, your synthetic data, no commitment.