Zero-Trust Isn’t Optional Anymore—It’s Your AI Agent Fire Drill

This piece explains how autonomous AI agents create an identity and access management gap by blending human-like decision-making with machine-scale execution, rendering legacy IAM and static RBAC inadequate. It positions Zero Trust as an operational strategy—emphasizing dynamic policy enforcement, machine-speed least privilege, and coverage across identity, devices, networks, applications, and data—and prescribes four practices: define explicit boundaries before deployment, assign unique identities per agent, build full observability with real-time blocking, and enforce short-lived, automated credential hygiene. The authors warn that rapid agent adoption without these guardrails can lead to cascading failures and expanding security debt.