Backed by Relevance Lab· previously known as Kaman.aiInsightsWhitepapersTrust centreCareersContactSign in
Try it now

Home / Whitepapers / Whitepaper

Whitepaper

Governed agents: a runtime for policy-bounded, auditable AI agents

How Camaan's agent runtime puts every tool call through one policy-checked path and signs each outcome into a tamper-evident ledger. The paper gives the design, the invariants and where each is enforced, and what the authors do and do not claim.

  • Every tool call, whatever its origin, passes one ordered path of checks before it runs.
  • Approvals are bound to the exact call, and the person who raises a change cannot approve it.
  • Each decision is recorded in a signed, hash-chained ledger; signing a record costs about 19 microseconds.
  • Credentials stay in an encrypted vault and never enter the model's context; interrupted turns resume without repeating finished calls.