Securing AI Agents in the Enterprise

Five Identity-Driven Use Cases

This guide breaks down the five AI agent security use cases that consistently surface in enterprise environments — and shows how Permiso solves them today.

At its core, AI agent security is an identity problem. Agents authenticate with credentials, operate through non-human identities (NHIs), inherit permissions, and act autonomously within your infrastructure. The attack surface isn’t the model — it’s the identity infrastructure that gives agents permission to act.

What You’ll Learn

• How to discover and inventory every AI agent: Gain continuous visibility into managed and unmanaged agents, map them to owners and business functions, and track their full lifecycle — from provisioning to credential rotation and deprovisioning.
• How to enforce least privilege for agents: Surface the gap between assigned and actually used permissions, detect overprivileged roles and stale tokens, and remediate credential risk before it becomes an attack path.
• How to monitor agent behavior in real time: Establish per-agent behavioral baselines, detect anomalous API calls and access patterns, and apply threat-informed detection to AI identities just as you do for human and non-human identities.
• How to secure agent-to-agent communication: Track token-based trust delegation across cloud boundaries, inspect inter-agent transactions, and optionally enforce inline blocking of malicious or policy-violating behavior.
• How to prove compliance and auditability: Map agent actions to governance frameworks like GDPR, HIPAA, ISO, and SOC 2, and produce regulator-ready audit trails that show which agent did what — and why.