AI agent authorization
AI agent authorization is runtime policy that decides what an authenticated agent is allowed to read, write, or execute after identity is proven — enforced with policy-as-code, not prompt hope. Least-privilege for AI agents means every tool call is evaluated at action time.
Authentication answers who the agent is. Authorization answers what it may do next. That second question is the Authorization Gap when teams stop at SSO, API keys, or polite model behavior.
EnforceAuth provides an OPA-native control plane operable by humans and agents through MCP, so the same policies govern apps, data, and agent tooling.
Start with Free Tier, map sprawl with Zift, and centralize Rego in Writ when you are ready to govern decisions end to end.
Common questions
Direct answers
Close the gap with policy-as-code
Free tier includes 1M authorization decisions / month. No card required.