Autonomy vs. Control: The Governance Dilemma of Autonomous AI Systems

Deploying autonomous AI agents creates a governance paradox, as maximizing autonomy boosts efficiency but escalates operational risks beyond traditional oversight. Effective AI governance demands integrated controls across policy frameworks, runtime enforcement, behavioral monitoring, least-privilege access, and fail-safe escalation protocols.