Plan your evaluation
Write down the workflow, systems, operating owner, and evidence needed to make your decision. Use the same scope for every supplier, and ask which parts of the demonstration are included in the proposed package.
AI use and data boundaries
Inventory approved applications, model endpoints, users, and sensitive information. Decide which uses require approval and how exceptions are reviewed.
AI application safeguards
Evaluate input handling, retrieval permissions, tool access, and output handling as one workflow. Include a case where the system must refuse or escalate an action.
Testing and monitoring
Define representative misuse scenarios, retain reproducible test cases, and assign an owner for reviewing changes after models, prompts, or connected tools are updated.
Questions to ask
- Are we securing employee AI use, an application we build, or both?
- What can the model retrieve or act on through connected tools?
- How will we test boundaries again after an application change?
Related buying guides
A security product pilot that answers the buying question ↗A documented feature is not the same as a licensed feature ↗