This page is part of the Capital Decision Control Infrastructure. View the category definition → Capital Decision Control Infrastructure — Definition
Agentic AI Runtime Governance is the enforcement layer that stabilizes autonomous agents at the moment of execution. It ensures that every agent — prescriptive, autonomous, or hybrid — operates inside governed constraint surfaces and cannot drift away from institutional intent.
Agents are the execution layer of the Decision Control OS. If agents drift, the institution loses control of autonomous decision pathways.
Agentic AI Runtime Governance stabilizes:
This domain protects the institution from autonomous systems that deviate from governed purpose.
Agent AI Drift occurs when autonomous agents deviate from governed behavior. It includes:
Agent Drift is dangerous because it creates ungoverned autonomy, which destabilizes institutional decision‑making.
Agentic AI Runtime Governance eliminates drift by enforcing:
These surfaces operate continuously during execution.
Agentic AI Runtime Governance governs:
Every agentic pathway is evaluated against governed surfaces before execution.
Agentic AI behavior is stabilized through real‑time enforcement. Violations are:
This ensures autonomous agents remain aligned with institutional purpose under all market conditions.
Agentic AI Runtime Governance integrates with:
This creates a unified enforcement fabric across the Decision Control OS.
Return to the parent governance layer: Runtime Governance
Autonomous agents remain stable, aligned, and institutionally safe under all market conditions. Runtime Governance ensures agent behavior, decision pathways, and autonomous execution cannot drift away from governing purpose.
Agentic AI Runtime Governance is the enforcement counterpart to Agent Drift in the Drift Index.
Agent AI Drift emerges when autonomous systems quietly move away from governed behavior. Runtime Governance applies constraint surfaces that prevent these drift pathways from forming.
For definitions of governed execution, constraint surfaces, drift pathways, and Decision Control OS terminology, see the Acumentica Glossary.
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