Artificial Intelligence is transforming industries, governments, and societies at unprecedented speed. The global AI market is projected to exceed $1.8 trillion by 2030, with over 72% of enterprises deploying at least one AI system in production.
However, trust in AI systems remains fragmented. Current approaches focus on model testing, security validation, compliance documentation—yet there is no unified operational framework that continuously assures AI systems throughout their lifecycle.
WAIG Foundation, in collaboration with DefenAI Lab Private Limited, introduces UAAF – Unified AI Assurance Framework.
- •Fragmented governance tools
- •No continuous assurance
- •Reactive risk management
- •No unified trust metric
- •Siloed compliance
- ✓Unified assurance framework
- ✓Continuous lifecycle monitoring
- ✓Proactive risk intelligence
- ✓AI Trust Index (AITI)
- ✓Integrated compliance mapping
UAAF Architecture
Telemetry → Controls → Risk → Assurance → Trust
The Seven Pillars
- • AI policy management
- • Risk appetite definition
- • Model inventory governance
- • Board reporting & RACI
- • Data quality validation
- • Data lineage tracking
- • Bias analysis at source
- • Consent & privacy governance
- • Accuracy validation
- • Explainability (XAI)
- • Robustness testing
- • Model drift management
- • Prompt injection testing
- • Adversarial AI testing
- • Data leakage prevention
- • OWASP LLM Top 10
- • CI/CD governance for AI
- • Deployment controls
- • Rollback mechanisms
- • Performance observability
- • Human-in-the-loop validation
- • Ethical oversight committee
- • Fairness monitoring
- • Impact assessment
- • Runtime telemetry
- • Continuous risk scoring
- • Incident management
- • Re-certification triggers
- • Anomaly detection
- • Automated escalation
AI Trust Index (AITI)
A board-level metric quantifying AI trustworthiness as a composite score across all seven domains.
UAAF Maturity Model
Most enterprises at L2 — UAAF targets L3+ within 18 months
Analytics Dashboard
WAIG-Certified AI
Four-tier certification from foundational assurance to continuous trusted AI.
- • Basic security
- • Initial governance
- • Model docs
- • Maturity L1–L2
- • Full security test
- • Bias assessment
- • Defined governance
- • Maturity L2–L3
- • Comprehensive val
- • Continuous monitor
- • Explainability
- • Maturity L3–L4
- • Real-time assurance
- • Self-healing
- • Board trust intel
- • Maturity L4–L5