AI Governance Control Stack for Operational Stability: Achieving Hardened Governance in AI Systems

arXiv:2604.03262v1 Announce Type: cross Abstract: Artificial intelligence systems are increasingly embedded in high-stakes decision environments, yet many governance approaches focus primarily on policy guidance rather than operational stability mechanisms. As AI deployments scale, organizations require governance architectures capable of maintaining reliable, auditable, and accountable behavior over time. This paper introduces the AI Governance Control Stack for Operational Stability, a layered