A public, open-source library of expert-curated AI governance taxonomies. Built by Trustible's AI governance researchers and regulatory experts to equip enterprises, policymakers, and consumers with practical, verifiable tools for responsible AI.
A structured library of AI risk types with descriptions, real-world examples, severity guidance, recommended mitigations, and mappings to NIST, ISO, EU AI Act, and other frameworks.
Explore AI Risks →Practical mitigation strategies categorized as organizational, product, or technical. Each includes implementation guidance, evidence requirements, and links to the risks they address.
Explore AI Mitigations →A taxonomy of AI benefits for documenting the positive impact of AI systems. Each includes measurement guidance and real-world examples to support business case development.
Explore AI Benefits →Many organizations don't build AI models. They buy SaaS, embed vendor services, and run AI inside products and business processes. Those teams need context that starts at the use case level and includes non-technical levers like policies, literacy, and tactical remediation.
Trustible's AI Governance Insights Center was created to fill that gap with evidence-based, pragmatic guidance practitioners can act on. Our team reviewed model documentation, regulations, academic research, and incident reports to assemble an industry-facing library of AI risks, mitigations, benefits, and model transparency guidance.
As a Public Benefit Corporation, Trustible has an ethical and social obligation to ensure AI is adopted responsibly for the public good. This library is open-source and free to use.
These taxonomies are designed to be used in AI governance programs, risk assessments, vendor evaluations, and compliance documentation. Each entry is structured for practical application in enterprise AI governance workflows.
If you use these taxonomies in research, policy, or organizational governance, please cite them using the citation block on each page. Trustible's AI governance platform applies these taxonomies directly through automated risk scoring, assessment workflows, and compliance mapping.
Trustible's AI governance platform applies these taxonomies directly in enterprise workflows, turning risk intelligence into action.
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