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"Once we hit the age of agentic AI, all of our historical AI governance tools and tradecraft will break."
— Geoff Schaefer, Chief AI Officer, Leidos

Why this distinction matters for governance

Agentic AI and AI agents carry different risk profiles, require different oversight mechanisms, and raise different accountability questions. Four areas deserve particular attention.

Tool calls

The agent invokes APIs, queries databases, or operates software on a user's behalf. Scope each tool explicitly — an agent should only reach systems its task requires.

Scheduled & event triggers

The agent wakes itself on a timer or in response to a signal, with no human in the loop at runtime. These need standing guardrails, not point-in-time review.

Read the full whitepaper on agentic AI governance

Covers deployment frameworks, risk categories, and governance program updates.

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Read the full whitepaper on agentic AI governance

Covers deployment frameworks, risk categories, and governance program updates.

Read the full whitepaper on agentic AI governance

Covers deployment frameworks, risk categories, and governance program updates.

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