GRC

GRC stands for Governance, Risk Management, and Compliance, representing an integrated framework that organizations use to oversee AI systems and align them with regulatory requirements. This discipline ensures that AI deployments operate within legal boundaries, manage potential harms, and maintain transparency across stakeholders. For enterprises, effective GRC practices reduce legal exposure, build stakeholder trust, and create systematic processes for auditing and controlling AI systems throughout their lifecycle.

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ResearchGlobal2026-09-05

Policy-as-Code Architecture Closes the Runtime Enforcement Gap in Multi-Agent AI

A peer-reviewed paper in the AMCIS 2026 Proceedings introduces a policy-as-code architecture in which dedicated governance agents monitor, evaluate, and intervene in the behavior of autonomous AI agent fleets in real time. The framework maps directly to enterprise GRC functions including continuous controls monitoring, separation of duties, escalation workflows, and audit trail generation. The work provides compliance teams with a concrete design pattern for enforcing written AI policies at the point of execution, not just at the point of deployment.

multi-agent policy-as-code agentic AI continuous controls monitoring runtime governance separation of duties GRC audit trail