AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
A unified taxonomy and tooling suite that consolidates AI risks across frameworks and links them to datasets, benchmarks, and mitigation strategies to support practical AI governance.
This resource provides a structured, cross-referenced catalog of risks associated with traditional, generative, and agentic AI systems, organizing them into categories that help practitioners identify and assess vulnerabilities.
It also presents the Risk Atlas Nexus, an open-source tooling ecosystem that uses ontologies and knowledge graphs to map risks to evaluations, mitigations, and governance workflows. By connecting fragmented standards and offering automation-ready infrastructure, the report aims to lower barriers to responsible AI adoption and foster collaboration across research, industry, and policy communities.
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