Separation Of Duties

Separation of duties is a control principle that distributes critical functions across multiple individuals or teams to prevent any single person from having complete control over a sensitive process. In AI governance, this principle ensures that model development, deployment, auditing, and approval decisions involve different stakeholders with distinct accountability. This reduces fraud risk, improves oversight of AI system decisions, and helps organizations meet regulatory requirements for checks and balances.

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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