OneTrust AI Governance
OneTrust LLC
AI governance software that centralizes risk, automates compliance, and enforces controls across the AI lifecycle
Last verified April 23, 2026About OneTrust AI Governance
OneTrust AI Governance is a platform that centralizes AI inventory, risk assessment, policy enforcement, and monitoring for enterprises scaling AI adoption. It automates workflows for approvals, attestations, and audit-ready reporting while providing real-time observability into model performance, drift, and policy violations across data, models, and agents. Distinct from narrower tools, it integrates with broader privacy and risk management for connected oversight, supports runtime guardrails like prompt filtering and data redaction, and aligns with multiple global standards to enable faster AI delivery without increasing compliance burden. The solution serves large organizations including Fortune 500 companies across sectors like financial services, healthcare, saas-technology, and retail-ecommerce, helping them prove responsible AI use amid evolving regulations.OneTrust AI Governance,OneTrust Solutions AI Governance,OneTrust Company,Crunchbase OneTrust,OneTrust News Series C
Framework coverage
Coverage claims documented by OneTrust AI Governance on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Global · voluntary
Capabilities
Features OneTrust AI Governance markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
Explainability
SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Third-Party AI Vendor Risk
Intake and assessment of AI features in third-party SaaS used by the organization.
Regulatory Intelligence
Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.
Industries served
Integrations
Documented by OneTrust AI Governance in public product materials.
- AWS SageMaker
- Google Vertex AI
- Databricks
- Snowflake
- OpenAI API
Pricing
Enterprise platform; contact sales for quote, no public pricing listed
Sources
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