Agentic Risk Boundary
Agentic AIThe defined limit of autonomous operation for an AI agent: the set of conditions, action types, or resource thresholds beyond which the agent cannot proceed without human ratification.
Autonomous AI agents present a governance challenge conventional frameworks were not designed to address. An agent that takes sequences of actions, modifies state, and interacts with external systems creates compounding risk at each step. An agentic risk boundary defines where that autonomy ends: what actions require prior human approval, what resource ceilings apply, and what triggers a Suspended Handoff State. IMDA's 2026 Agentic AI Governance Framework treats task complexity, multi-agent interaction, and action irreversibility as inputs to the upfront risk assessment that sets these thresholds.
How to recognise the gap
For each AI agent in production: can you name the exact action types it cannot take without prior human approval, and the exact conditions that trigger an automatic halt? If not, you do not have a defined agentic risk boundary.
How this relates to
Crossing an agentic risk boundary triggers a Suspended Handoff State. The boundary defines when; the Suspended Handoff State defines what happens next.
Agentic risk boundaries are part of the broader override architecture design for autonomous agent deployments.
This definition reflects how Aivance uses the term in engagements and deliverables. Where regulatory frameworks use overlapping but distinct terminology, the relevant framework definition applies in compliance contexts.
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