Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

arXiv:2604.25684v1 Announce Type: new Abstract: The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime guardrails, training-time alignment, and post-hoc auditing treat governance as an external constraint rather than an internalized behavioral principle, leaving agents vulnerable to unsafe and irreversible actions. We address this gap by drawing on how humans self-govern n