How to Give AI Agents Identity Without Sharing Human Credentials

This article discusses the security challenges of authenticating AI agents to enterprise tools and provides a detailed architectural pattern for giving agents their own identity. It warns against common shortcuts like sharing human passwords, browser sessions, or long-lived tokens, which collapse security models and break audit trails. The recommended approach involves using a dedicated workload identity for the agent, explicit delegated authority when a user is involved, token exchange for each downstream resource, short-lived credentials, per-tool permissions, and audit records that preserve both the requesting subject and the acting agent. The article emphasizes that agent identity is a chain of distinct security principals—including the requesting subject, agent identity, runtime identity, tool identity, resource owner, and approver—and should not be collapsed into a single login. It is a technical guide relevant to IT/technology, specifically software engineering, security, and AI integration.