Checklist

AI security questions for procurement and vendor risk teams

What to ask when evaluating AI tools, copilots, model providers, and agent platforms.

Checklist6 min readRisk and Compliance, CIO

Move Beyond Feature Demos

AI vendor reviews should examine data handling, model routing, retention, access control, prompt protection, audit logs, red teaming, and incident response.

Data Questions

Ask what data is processed, where it is stored, whether it trains models, how long it is retained, and whether sensitive inputs can be masked or blocked.

Runtime Questions

For agents and copilots, ask how tool calls are controlled, how prompt injection is detected, and whether high-risk actions support approval workflows.

Evidence Questions

Vendors should provide logs, attestations, control descriptions, test results, and integration paths that fit your security operations.

More Resources

Continue exploring AI security thinking.

Guide

9 min read

The enterprise guide to AI agent runtime security

A practical security model for agents that retrieve context, reason over data, call tools, and act across business systems.

For CISO, Head of AI, Security Engineering

Executive Brief

8 min read

How CISOs can govern workforce AI without slowing adoption

Policy patterns for shadow AI discovery, prompt DLP, app governance, and employee enablement.

For CISO, CIO, Risk and Compliance

Research Note

10 min read

Red teaming RAG systems for poisoned context and over-disclosure

Testing approaches for retrieval abuse, source trust, sensitive context leakage, and model response drift.

For Security Engineering, AI Product Teams

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