Atlas of AI Risks
Structured risk taxonomy and mapping for AI system governance.
Atlas of AI Risks provides a comprehensive framework for identifying, categorizing, and managing AI-related risks. Organizations use it to systematically assess AI governance gaps, map risks to regulatory requirements, and document compliance efforts. The taxonomy-driven approach enables cross-functional risk communication without requiring AI expertise.
Adjacent tooling.
AI Governance & Compliance (EY Global)
Enterprise AI governance and compliance framework aligned with EU AI Act requirements.
AI Trust Services (KPMG)
KPMG's trusted AI framework for governance, risk, and compliance.
Aporia
Monitor, test, and safeguard LLMs in production with observability and guardrails.
Atlan
Data lineage and governance for AI systems with policy enforcement.
Centraleyes
AI-powered risk register and policy management for EU AI Act compliance.
Certa
AI-driven third-party risk assessments and compliance management.