Framework

JAF Standard

Janus Assurance Framework (JAF) — the unified framework for AI trustworthiness certification, bridging EU AI Act, GDPR, NIST, and ISO requirements.

The Six Pillars

Full auditability of AI decision-making processes, data lineage, and model behavior documentation.

Quantitative bias detection across demographic dimensions with evidence-based mitigation strategies.

Clear ownership chains, incident response protocols, and human oversight mechanisms for AI systems.

Data quality assurance, privacy compliance, consent management, and secure data handling practices.

Model stability testing, adversarial resilience, drift monitoring, and graceful degradation protocols.

Human-in-the-loop controls, override capabilities, and escalation pathways for critical decisions.

Score: 95+

Highest trust. Full JAF compliance across all pillars with continuous monitoring active.

Score: 85–94

Strong compliance. Minor improvements needed in one or two audit dimensions.

Score: 75–84

Baseline compliance. Meets minimum standards with actionable improvement roadmap provided.

Upload AI model data, datasets, or documentation

Select audit mode and regulatory frameworks

Automated parsing and content extraction

Deep analysis: quality, bias, compliance, consistency

Dynamic scoring and risk classification

Report generation with evidence-based findings

Certification issuance based on Trust Score

Continuous monitoring activation