Why AI agent governance can't be a document
Most AI governance today lives in policy documents and review meetings. But an agent doesn't read your policy PDF — it takes actions, fast, based on input from users you don't fully trust. The only thing standing between a prompt injection and a real-money transaction is the model's good behavior.
Aarvion makes governance executable. Every consequential action an agent attempts is checked against your policy in real time. The model can be jailbroken; the gateway cannot.
Governance that runs on every action
Before an agent approves a refund, changes a record, executes a workflow, or triggers a payment, Aarvion verifies the action is authorized by your policy, records cryptographic provenance, and writes an auditable decision trail.
- Policy check and authorization on the hot path at sub-5ms p99
- Works with any agent — internal copilots, vendor agents, OpenAI, Anthropic — with no SDK or model lock-in
- Policy manifests are open YAML in your own Git repository: diff, review, and revert like any other code
- Start in shadow mode with zero production impact, then promote to bounded enforcement when you're ready
A foundational layer, alongside identity and observability
Identity answers "who is the agent?" Observability answers "how is it performing?" Governance answers a third question that becomes non-negotiable the moment agents act inside your systems of record: what was it allowed to do, what did it actually do, and on whose authority?
Aarvion is that authority and provenance layer — built to drop in next to the identity and observability tools you already run.