Assurance Platform
The measurement layer beneath every rating
Reliability, robustness, fairness, explainability, security, privacy, and governance maturity — measured with defined procedures, not asserted.
Capabilities
What this module provides
Defined measures
Each metric has a published definition, measurement procedure, and interpretation guide.
Comparable scoring
Scores are comparable across systems in the same class and across assessments over time.
Threshold transparency
The thresholds separating grades are published, so a rating can be understood rather than merely received.
Drift tracking
Repeat measurement detects degradation between formal assessments.
What we measure
Seven dimensions, measured separately
Collapsing everything into a single number hides the trade-off that matters. A system can be highly accurate and entirely unexplainable; robust and unfair; secure and unavailable. We report the dimensions separately and let the reader weigh them.
- Reliability and calibration
- Robustness under shift
- Fairness and disparate impact
- Explainability and traceability
- Security posture
- Privacy and data handling
- Governance maturity
- Operational resilience
Standards
Anchored to published criteria
- ISO/IEC 42001:2023
- Artificial intelligence management system (AIMS) — the certifiable organisational standard for governing AI.
- NIST AI RMF 1.0
- The Govern, Map, Measure, Manage functions, plus the Generative AI Profile (NIST AI 600-1).
- ISO/IEC 27001:2022
- Information security management, still the substrate under any credible AI security claim.
Other platform modules
Deploy AI with confidence.
Start with an independent assessment of your highest-stakes AI system.