AI agent security is a lifecycle — not a gatekeeper

Enterprise security traditionally validates identity and enforces permissions, but AI agents fundamentally complicate this model. Agents interpret objectives, select tools, create sub-agents, and execute decisions using inherited human credentials—often in ways the original user never intended. The core risk is that credentials authorizing broad actions may enable unintended agent behavior, and agents can dynamically change execution paths. The article argues security must shift from checkpoint-based approaches to defense-in-depth across the agent lifecycle, requiring action-level authorization that evaluates what agents attempt, whose authority they operate under, and policy compliance.

Summary and key points written by AI from the headline and a short excerpt, so they can be incomplete or wrong. The New Stack did the reporting; read the original for the full story.