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New Cheat Sheet: AI Security Assurance Framework
Ask three people at the same organization “are we secure?” and you’ll often get three different, equally confident answers — a passed red-team report, a completed compliance filing, a signed-off audit. All three can be true at once and still leave the real question unanswered: does anyone actually know the controls work, right now, not just on the day someone checked?
CHT-SEC-006: AI Security Assurance Framework is our latest practitioner cheat sheet, and it’s built around that gap. Assurance isn’t governance, compliance, or audit — it’s the continuous, evidence-based discipline of knowing whether AI security controls remain effective as the system keeps changing underneath them.
Inside, you’ll find:
- A clear breakdown of what assurance actually answers, versus governance, compliance, audit, and certification
- Principles of Assurance — independence, objectivity, repeatability, traceability, and continuous improvement — the test for whether an assurance activity is real or just performative
- Five assurance domains (governance, architecture, control, operational, evidence), an assurance maturity model, and the full evidence model with a confidence hierarchy from documentation up to independent assessment
- A clear distinction between verification, validation, and testing — three things routinely flattened into “we checked it”
- Assurance confidence vs. risk level — why a system can be high-risk-but-well-assured or low-risk-but-completely-unverified, and why conflating the two leads to bad calls in both directions
- Assurance considerations specific to agentic AI, and to third-party/vendor AI dependencies
- A mapping to ODA3’s own frameworks — how assurance concepts connect to UAIF™, GAISSF™, and AI-IRF™ — alongside a reference-only comparison to external frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act, MITRE ATLAS, and others)
- An assessment readiness checklist and five priority actions to start closing the gap
As with every ODA3 practitioner cheat sheet, evidence is tiered (T1–T4) throughout, and the Notably Absent section is upfront about what this cheat sheet deliberately doesn’t cover — including the fact that it offers no numeric scoring formula for confidence levels, because that would overstate the precision a qualitative judgment can actually support.
CHT-SEC-006 is available now as a free download.
GAISSF™, UAIF™, and AI-IRF™ are frameworks of ODA3 Institute, referenced under the GAISSF Ecosystem License (GEL) v1.0.
ODA3 Institute — Where AI Governance meets Operational Reality.