FRAMEWORK COMPARISON

AI safety and security framework comparison

AI frameworks answer different questions. AITBM connects threat taxonomies, control standards, governance frameworks, regulations, maturity models, and defensive catalogs to one deployment-specific measurement layer without converting external labels into automatic scores.

Controls, threats, governance, and scores are not interchangeable

OWASP AISVS describes verifiable security controls. MITRE ATLAS and the OWASP Top 10 collections describe threats and failure patterns. NIST AI RMF, ISO/IEC 42001 and 42005, and the EU AI Act organize governance, impact, and obligations. AIDEFEND and D3FEND organize defensive techniques. CVSS scores vulnerability severity. Each can inform an AITBM assessment, but none of those outputs proves a deployment's rubric score by itself.

Where AITBM fits

AITBM measures system properties, operational context, and evidence confidence. External frameworks help select tests, controls, evidence, or governance actions; AITBM asks whether those measures work in the assessed deployment and how the remaining risk composes. Sixteen dedicated crosswalks document the relationship and the boundary for each framework.

Use the comparison to build an assessment

Start with the external framework your organization already uses. Follow its crosswalk to the relevant AITBM sub-metrics and evidence routes, run the required tests, and retain the original control or governance result beside the AITBM measurement. This preserves traceability without claiming endorsement or false equivalence.

A practical next step

Choose one system boundary, document the architecture and deployment tier, and test the evidence required by the applicable sub-metrics. Record unknown evidence explicitly instead of treating it as a passing control.