Your AI Agents Are Guessing at Scale: Permissions Decide the Damage

AI agents (autonomous programs that reason through tasks step-by-step) make unpredictable decisions because they work probabilistically, choosing actions based on likelihood rather than fixed rules, which breaks traditional security models that assume predictable workflows. The core problem is that teams often grant agents broad permissions to avoid difficult access decisions, meaning any wrong choice an agent makes can become a security risk. The article argues that traditional security approaches like prompt filtering (blocking certain inputs to AI) and standard identity and access management (IAM, which controls what user accounts can access) fail because they cannot account for an agent's unpredictable next move or take away permissions once they've been granted.