AI Mitigation Taxonomy
Capturing and managing mitigations is a core pillar of effective AI governance because it gives organizations a structured, proactive way to address the risks associated with AI systems.
Trustible’s Mitigation Taxonomy provides a comprehensive library of pre-built mitigations—ranging from organizational controls and process safeguards to product-based measures and technical interventions—that can be applied across multiple risks.
By linking each mitigation to a specific risk, teams can consistently track how issues are being addressed, monitor progress, and ensure accountability across stakeholders. This structure also enables organizations to evaluate both inherent risk (before mitigations) and residual risk (after mitigations), ensuring that decision-makers have a clear understanding of whether remaining risks are acceptable or require additional oversight.
AI Mitigation Taxonomy
