AI governance for defense and intelligence is the control of AI systems in environments where data cannot leave the enclave. Smartflow is designed to run air-gapped: configured with local embeddings and a local model, policy, cache and audit make no call to us or anyone else. It issues cryptographic identity to every caller including autonomous agents, and keeps the policy decision and its record inside the accredited boundary.
AI Governance for Environments Where Data Cannot Leave
Defense organizations and intelligence agencies require AI governance infrastructure that operates in air-gapped and classified environments with zero external dependencies. Smartflow deploys entirely within your perimeter, governs AI agent operations across classification boundaries, and provides the audit infrastructure that ITAR, FedRAMP, and CMMC require.
Defense-Specific Capabilities
- Air-gapped deployment: Smartflow operates with zero external runtime dependencies. No internet connectivity required. No phone-home telemetry. Complete operational isolation.
- Classification boundary enforcement: Policy engine enforces data handling rules across classification levels. Prevent unauthorized information flow between AI systems operating at different classification tiers.
- ITAR compliance: On-premises architecture ensures defense-related AI interactions and technical data remain within ITAR-compliant boundaries.
- Autonomous agent governance: AIDA provides the identity and authorization framework for autonomous AI agents operating in defense environments.
- Local model routing: Route AI traffic to on-premises models (Llama, Mistral, custom fine-tuned) without any external provider dependency.
Related reading
MITRE ATLAS · AI red teaming · Data poisoning · Air-gapped AI deployment · Agentic AI
Put this in the path of your own agents.
Policy enforced inline between your agents and every model and tool they reach, with a record bound to the human who owns it.
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