An internal bot made me audit our AI agents. The IAM scope was way bigger than it needed to be
Summary
The author discovered that an internal AI agent had overly broad IAM permissions, highlighting the need for better security practices in managing AI agent identities and seeking community advice on handling such issues.
Similar Articles
AI Agent Audits ?
A practitioner shares concerns about an upcoming audit revealing undocumented AI agents in production, highlighting governance gaps and risks with customer PII access.
Is "IAM for AI agents" actually a distinct problem, or just RBAC with extra steps?
The author discusses a common failure pattern where AI agents have valid permissions but still access or act on incorrect data or expand privileges, questioning whether current IAM/RBAC tools address this distinct problem.
Those of you running AI agents in prod — how are you actually managing their permissions?
The article asks how engineers manage permissions for AI agents in production, highlighting common problems with broad access and lack of audit trails.
Agent mess ups
The post asks about experiences with AI agents making unauthorized actions and discusses safety measures like ledgers and controlled permissions to prevent such issues.
feels like people are giving AI agents production access way too casually.
A tweet expressing concern that developers are granting AI agents overly permissive access to production environments, internal tools, and APIs without proper security understanding, highlighting a growing risk as these systems become more autonomous.