The Total Evidence Supporting Confidence in AI
EII AI Assurance examines the total evidence supporting confidence in an AI-enabled capability — from testing and evaluation through operational monitoring and independent challenge.
AI Assurance is not a single test or certification. It is the comprehensive body of evidence that supports — or challenges — confidence in an AI system's condition, performance, and fitness for purpose.
Assurance Areas
- • Testing
- • Evaluation
- • Verification
- • Validation
- • Operational evaluation
- • Scenario testing
- • Red teaming
- • Security testing
- • Resilience testing
- • Data validation
- • Human factors
- • Performance monitoring
- • Agent evaluation
- • Tool-use evaluation
- • Drift detection
- • Post-deployment evaluation
- • Documentation
- • Independent challenge
- • Revalidation
AI Assurance Record
EII is developing an AIAssuranceRecord entity to document assurance assessments — including scope, assessor, methodology, evidence sources, tests performed, limitations, findings, confidence level, material conditions, recommendations, management response, risk acceptance, and revalidation date.
Independence
EII does not copy another organization's assurance framework. EII AI Assurance is an original approach grounded in Enterprise Intelligence and clinical thinking.