Standardize project intake, streamline risk evaluations, and enable approval re-use to speed up AI deployment.
AI Governance
Orchestrate trust in an AI-native world
Embed governance by default to accelerate innovation, scale responsible AI adoption, and build stakeholder trust across your AI initiatives.
Save time
Simplify compliance
Centralize your AI asset inventory with automated discovery and mapping to support continuous compliance with evolving regulations.
Optimize impact
Track AI risk and performance in real time, generate audit-ready reports, and benchmark safety to build trust and maximize value.
Operationalize compliance with the EU AI Act
Build trust and stay compliant
Lay the foundation for AI governance with cross-functional alignment, automated controls, and global regulatory readiness.
Build a comprehensive AI inventory
Automate discovery and registration of AI models, datasets, vendors, and agents. Map relationships across systems to ensure traceability, reduce duplication, and gain end-to-end visibility into your AI landscape.
Operationalize AI frameworks and standards
Operationalize AI risk management frameworks by mapping AI systems to evolving standards and regulatory requirements such as the EU AI Act, ISO 42001, and NIST RMF. This is supported through out-of-the-box assessment frameworks, risk and control libraries, embedded regulatory research and role-based workflows.
Evaluate risk early in the AI lifecycle
Proactively evaluate use cases for risk and context before use or development begins, leveraging pre-built integrations to gain visibility into models, datasets, and intended usage.
Govern continuously for greater ROI
Automate governance from ideation to deployment to align teams and ship faster.
Scale documentation and transparency
Automatically generate model cards, AI bills of materials (BoM), lineage reports, and dashboards to streamline audits, meet regulatory obligations, and build trust.
Automate AI discovery & asset management
Integrate with MLOps and data platforms to automatically discover and track agents, models, and datasets, ensuring alignment with governance policies and regulatory requirements from the outset.
Set governance checks across the AI lifecycle
Schedule evaluations at key development milestones and set alerts for data drift or model changes to keep governance proactive and timely.
Accelerate AI adoption through trust
Turn trust into results with automated governance, proactive risk mitigation, and transparent reporting.
Demonstrate responsible AI by design
Automatically enforce and monitor policies across the development and deployment lifecycle, reducing manual oversight, ensuring consistent, compliant AI standards, and demonstrating responsible AI by design through measurable accountability.
Empower user-centric control
Support data subject rights and privacy regulations by enabling user choices about their data and AI interactions, whether it’s consent preferences, opt-outs, or transparency into model decisions.
Proven results
“With OneTrust, our AI governance council has a technology-driven process to review projects, assess data needs, and uphold compliance. The customizable workflows, integrations with other platforms we utilize, and alignment with NIST’s AI Risk Management Framework have accelerated our approvals and helped embed oversight at every phase of the AI lifecycle."
- Ren Nunes, Senior Manager, Data & AI Governance, Blackbaud
“OneTrust AI Governance helps enable automation across the AI lifecycle, enhanced transparency, and control necessary for organizations to confidently operationalize Trusted AI at scale. It serves as a powerful foundation for building AI programs that are resilient, responsible, and future-ready. Working closely with OneTrust, we have integrated these capabilities with the KPMG Trusted AI intake, inventory, rules logic, and control catalogs, to provide a comprehensive technology-enabled AI governance solution that allows us to support organizations in scaling their governance programs across the AI lifecycle.”
- Bryan McGowan, Global and US Trusted AI Leader, KPMG
Partnering with the best
Our AI Governance service partners and seamless technology partner integrations make it even easier for you to accelerate responsible AI adoption.
Service partners:
Technology partners:
Setting the standard for responsible AI innovation
We hold ourselves to the highest standards of responsible and trustworthy AI development.
Discover how OneTrust and AGNTCY's partnership is helping organizations address their critical governance needs
You may also like
FAQ
AI governance refers to the policies, processes, and tools that ensure AI systems are developed, deployed, and monitored responsibly. It helps enterprises innovate while managing risk, complying with regulations like the EU AI Act, and maintaining trust with customers and regulators.
OneTrust helps organizations embed governance by default across the AI lifecycle, enabling real-time control, continuous oversight, and responsible innovation at scale.
Compliance requires classifying AI systems by risk level, performing impact assessments, maintaining documentation, and continuously monitoring AI use. OneTrust automate this with out-of-the-box assessments, regulatory updates, and policy enforcement to meet evolving requirements.
Learn more about EU AI Act compliance
Key components include: AI use case intake and approval workflows, a unified asset inventory, lifecycle checkpoints, centralized policy enforcement, and real-time monitoring of risk and model performance.
OneTrust delivers all of these through a single platform, transforming governance from manual oversight into intelligent, scalable orchestration.
Enterprises often face slowdowns due to manual checkpoints, siloed processes, and unclear ownership. Automating governance tasks and standardizing risk evaluations allow technical and compliance teams to collaborate more efficiently. OneTrust enables pre-cleared governance patterns, reusable workflows, and federated policy management so teams can move faster without sacrificing trust or compliance.
AI governance platforms help identify and manage risk across the AI lifecycle by tracking performance, surfacing risk signals, and detecting potential sources of bias. They automate key documentation — like model cards, bills of materials, and lineage reports — and provide transparency into how AI systems are built, trained, and deployed. These capabilities are critical for supporting audits, addressing ethical concerns, and demonstrating responsible AI to stakeholders.
OneTrust enables organizations to monitor AI risk in real time, reduce model bias through continuous oversight, and generate audit-ready documentation.