How to Build an AI Agent Risk Register

Описание: If your team has AI agents running real workflows, you need more than a list of names. You need to know what each agent can touch, what can go wrong, who owns the risk, and what evidence proves the risk is controlled.

This video shows how to build a practical AI agent risk register for cybersecurity, GRC, and production AI operations.

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We cover:

What an AI agent risk register is
Why agent ownership matters
How to capture purpose and scope
How to document data exposure
Why tools and permissions change the risk level
How to identify failure modes
How to rate impact and likelihood
How to map controls
How to assign mitigations and due dates
Why evidence links matter
How review cadence keeps the register alive
A cybersecurity vulnerability management example
A practical AI agent risk register checklist

This is a defensive security automation video. The goal is stronger AI governance, cleaner risk ownership, better audit readiness, and safer production AI agent operations.

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Chapters:
00:00 Intro bumper - RISK REGISTER
00:14 Hook - SMALL AGENTS ADD UP
00:32 What a risk register does
00:49 Start with identity and ownership
01:04 Capture purpose and scope
01:21 Record data exposure
01:37 Record tools and permissions
01:56 Identify failure modes
02:14 Rate impact and likelihood
02:30 Map controls
02:48 Add mitigations and due dates
03:06 Link evidence
03:25 Review cadence
03:41 Cybersecurity example
04:04 Practical checklist
04:22 Closing

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