Featured / Agent Security
AI Agent Authorization: A Practical Architecture
How to authorize AI agents with explicit application identity, user consent, bounded credentials, and runtime enforcement.
Read articleResearch / Engineering / Field notes
Research, engineering, and practical guidance for securing AI agents in the enterprise.
Featured / Agent Security
How to authorize AI agents with explicit application identity, user consent, bounded credentials, and runtime enforcement.
Read articleA deployment-focused guide to MCP authentication, resource-bound authorization, credential isolation, and runtime controls.
How agent identity relates to workload identity, user delegation, credentials, and authorization boundaries.
When OAuth token exchange fits agent architectures, when it does not, and how to preserve resource and delegation boundaries.
Design meaningful human approval for agent authority changes and high-impact actions without creating approval fatigue.
A practical comparison of Cedar and Open Policy Agent for capability, resource, and context decisions in AI agent systems.
Identity gives agent actions attribution, credential boundaries, revocation, and a foundation for meaningful authorization.
Reduce agent authority with capability ceilings, specific consent, credential isolation, live checks, and measurable revocation.