Identity-based security infrastructure for multi-agent AI systems
Deploy an open-source security layer around multi-agent systems so authorization decisions use each agent's cryptographic identity and the full delegation chain, rather than relying on bearer tokens or a statically defined request path.
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From IBM Technology — Kagenti’s Approach to Multi-Agent Security for AI Agents at 01:06
Problem: A confused deputy can receive a valid credential through an agent chain and use it to access data or tools it was never authorized to reach, potentially leaving only normal-looking authorized activity in the audit trail.
For: Organizations running multi-agent AI systems in production, including systems that process patient records, financial histories, internal communications, or other protected information.
Examples
- A hospital patient-billing system: Agent A orchestrates agents B, C, and D with a bearer token for patient data; Agent D receives the token while verifying insurance, and the delegation-chain policy blocks Agent D from patient records because it is not authorized for that resource.
Behind this: 14 build steps · 11 tools and how each is used · how to validate demand · 7 things the video never answers.
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