Buyer guide
What to look for in an AI security assessment report
Read the report alongside its scope. Check what was examined, what evidence supports each observation and what the results do not establish before using them to make a deployment or remediation decision.
Discuss your assessment scopeMatch conclusions to the tested system
Identify the application, model or integration versions, user roles, environment and test conditions described in the report. Ask how the conclusions depend on those conditions and which parts of the system were excluded.
Follow the evidence
For each finding, look for the observed behaviour, supporting evidence, relevant conditions and explanation of impact. Separate demonstrated behaviour from assumptions or areas that could not be tested. NIST’s AI RMF emphasises documented evaluation and the limits of measurement.
Use a clear finding structure
An illustrative review structure is: scope and conditions; expected boundary; observed behaviour; supporting evidence; impact and uncertainty; proposed action; owner; retest status. These are buyer-review prompts, not a promise that every SWSAM engagement has identical report fields.
Turn the report into a decision
Clarify who owns each action, what evidence would demonstrate a fix and whether the proposed change requires retesting. Do not describe a finding as closed simply because a change has been scheduled. Use the assessment-scoping guide when commissioning the next review.
Reference: NIST — AI RMF Core
Questions to settle before commissioning an AI security assessment
Give prospective providers the same system description and questions. Ask them to identify the access, environments and test data they would need, then explain how those choices affect coverage. Record exclusions before comparing proposals.
Ask whether the agreed output will help a technical owner reproduce an observation and a decision-maker understand its impact and limits. Clarify how proposed actions, unresolved questions and any follow-up testing will be recorded.
Illustrative finding outline — not a client result: system and version; user role and permissions; question being tested; test conditions; expected boundary; observed behaviour; evidence reference; impact and uncertainty; proposed action; owner; follow-up status. Leave each field blank until supported by the assessment.
- Which models, agents, tools and integrations are included?
- What access and test data are needed, and what remains untested?
- How will demonstrated behaviour be separated from assumptions?
- Who owns remediation, and is retesting included or agreed separately?