Controlling AI Agents Before They Become Privileged Insiders
🔒 AI agents are evolving into autonomous enterprise workers that do more than generate content: they read email, access SaaS, call APIs, modify records and execute workflows. This shift introduces insider-like risk because agents can act with high autonomy and broad access. Leaders must move beyond traditional IAM to enforce action-level and runtime controls, assign human owners, and apply lifecycle governance to ensure agents are discovered, monitored, and constrained.
