Shift from reactive oversight to embedded, real-time orchestration — ensuring AI programs move faster with less risk.
Data Teams
Deliver AI-ready data faster
Empower your data teams with trusted guardrails, real-time risk visibility, and automated policies that speed up time-to-value.
Transform governance into growth
Accelerate AI adoption
Enable teams to deploy AI with confidence using reusable, policy-aligned governance patterns built into the development lifecycle.
Gain continuous visibility and control
Monitor AI risk signals across systems, models, datasets, and vendors in real time, with automated policy enforcement to keep initiatives compliant.
Simplify AI governance
Deliver governance as a system of intelligence embedded across the AI lifecycle. From cataloging models and datasets to automating controls, OneTrust equips data teams with the guardrails to innovate responsibly at scale.
KEY CAPABILITIES
Catalog AI systems, models, datasets, and use cases
Centralize risk and compliance controls and stakeholders in one platform
Automatically generate compliance artifacts (model cards, DPIAs, transparency reports)
Accelerate responsible data use
KEY CAPABILITIES
Centrally manage the lifecycle of data policies from ingestion to use
Streamline data privacy, consent, and use for compliance
Enforce governance policies programmatically at the data and model level
Bring trusted AI to market faster
Turn governance into a growth enabler by embedding trust signals into AI systems. With continuous monitoring and adaptive controls, organizations can demonstrate compliance while fueling scalable innovation.
KEY CAPABILITIES
Continuous AI risk monitoring across vendors and supply chains
Pre-built integrations into ML platforms and data systems
Reporting to prove compliance for stakeholders and regulators
Trusted by leaders in data and AI
"That's where the sensitivity and the data categorization and the assessment in OneTrust comes into play. So we look at a project from three different lenses: the business, the technical, and the privacy risk assessment."
- Amit Parulekar — Director, Global Advanced Analytics and AI Strategy Brown-Forman
See how OneTrust helps leaders strengthen data governance for responsible AI.
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FAQ
AI governance extends beyond managing data access, quality, and lineage. It embeds policies and controls directly into the AI lifecycle, from data ingestion to model deployment, ensuring AI systems remain compliant, ethical, and trustworthy at scale.
OneTrust automates data discovery, metadata management, and policy enforcement so that data used for AI is accurate, fit for purpose, and enriched with the necessary context to support reuse across projects.
Pre-approved governance patterns reduce bottlenecks by providing reusable, policy-aligned workflows. Data and AI teams can launch projects faster while staying compliant with internal policies and external regulations.
The platform continuously surfaces risks such as bias, drift, data misuse, and third-party noncompliance. It provides real-time visibility across models, datasets, and vendors to help leaders mitigate issues before they scale.
OneTrust automates the creation of compliance artifacts such as model cards, DPIAs, and transparency reports, ensuring organizations can demonstrate alignment with evolving global regulations and frameworks like the EU AI Act and NIST AI RMF.
Yes. OneTrust offers pre-built integrations with leading ML platforms, data warehouses, and governance tools, so AI governance is enforced natively within the systems your teams already use. Supported platforms include:
Amazon SageMaker
Azure ML
Azure OpenAI
Databricks Unity Catalog
Databricks MLFlow
Google Vertex
Request a demo
Interested in seeing how you can scale AI responsibly with built-in governance? Complete the form, and an expert will reach out.