Interception is not governance. Prove7 runs the full loop on every agent, native or external: who it is, what it’s for, what it may do, how much it has earned, who approved it, and exactly what happened.
Filtering an agent’s traffic catches some bad calls. It cannot answer the board’s question: when the agent acts, who answers for it? Answering takes a lifecycle, not a filter.
SPIFFE/SVID identities with rotation, revocation, and a pageable owner — not a shared key or a borrowed user account.
Intent Profiles scope which skills an agent may call under an approved business intent — drift becomes detectable the moment it starts.
Rego/OPA verdicts at entry, inference, tool, workflow, inter-step, and connector — reproducible, versioned, fail-closed.
A live 0–100 Agent Trust Score promotes Shadow → Assisted → Supervised → Autonomous — and demotes automatically on drift, in seconds.
Approval Center gates — single or dual, with urgency and escalation — pause even a mid-reasoning cognitive loop until a person decides.
Every action seals to a hash-chained record with chain-integrity verification — walk any run end-to-end, a year later.
Agents built on the Governed Workflow are born governed. Agents you already run join via the MCP Gateway or a one-line SDK decorator — LangChain, CrewAI, AutoGen, ServiceNow, UiPath and more — and earn trust through the same lifecycle. The Endpoint Container extends the same governance to agents working at the edge.
AI agent governance is the discipline of controlling what AI agents may do and proving what they did. It requires per-agent identity, declared intent, policy enforced at the moment of action, an autonomy model tied to observed behaviour, human approval on consequential actions, and a tamper-evident audit record.
Traffic inspection sees calls in flight and can block some of them. Governance manages the agent across its lifecycle: it knows the agent’s identity and purpose, grants autonomy based on earned trust, pauses for human approval, and can replay any action end-to-end for an auditor. Prove7 does both the enforcement and the accountability.
Yes. The Agent Trust Score is recomputed continuously; drift or policy blocks lower it, and a sufficient drop demotes the agent’s autonomy automatically — in seconds, with the deterministic baseline resuming underneath and the whole event sealed to the record.
If you’re the one who answers when the machine acts — a CISO, a CFO, a COO — watch Prove7 Control Vector™ take an agent from discovered to governed to proven, live.
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