Identity
Every agent needs a distinguishable identity, owner and trust context.
EXPERTISE · AGENTIC AI
Agentic AI refers to systems that can pursue goals through multi-step reasoning and action, often selecting tools, invoking APIs, using memory and interacting with other systems or agents with varying levels of human supervision.
DEFINITION
Agentic AI refers to systems that can pursue goals through multi-step reasoning and action, often selecting tools, invoking APIs, using memory and interacting with other systems or agents with varying levels of human supervision.
CONTROL DIMENSIONS
Every agent needs a distinguishable identity, owner and trust context.
Permissions should be explicit, bounded, contextual and revocable.
Tool use must be constrained by task, data sensitivity and action impact.
Human involvement should scale with consequence, uncertainty and autonomy.
QUESTIONS TO ASK
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
RESEARCH
The research library is published separately under /research/ using WordPress.
INDEPENDENT ADVISORY
For AI strategy, governance, Agentic AI, security, assurance or cyber-risk requirements, describe the decision you are facing and the context around it.