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AI Governance

Protect the ROI of AI

Translate AI risk into enforceable controls to govern well and move fast.

AI program center screen

OneTrust AI Governance aligns enterprise governance with technical reality, so teams scale AI faster, reduce risk and maintain trust.

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Accelerate AI delivery 

Ship AI faster by removing governance friction with automated, policy-driven controls.

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Scale trusted innovation 

Confidently scale AI adoption with continuous monitoring and system-level trust.

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Protect AI ROI

Continuously prove compliance and responsible use as AI systems evolve in production.

Where are you on the AI governance maturity journey?

Catalog AI and assess risk 

Establish a scalable foundation for AI compliance and risk readiness. 

Unify AI governance across the business 

Centralize AI risk, ownership, and compliance in one program center.

Key capabilities

  • Track models, datasets, agents, and vendors in a central inventory
  • Assign ownership and lifecycle status
  • Understand component dependencies
Widgets from OneTrust AI program center
This is an example of OneTrust's streamlined risk classification workflow used to comply with the EU AI Act.

Operationalize AI risk identification 

Standardize AI risk identification using global frameworks.

Key capabilities

  • EU AI Act, NIST, ISO 42001 templates 
  • Automated risk tiering by use case, system or component
  • Mapped risk and control frameworks

Automate compliance workflows and reporting 

Streamline approvals, attestations, scoping, and audit ready compliance reporting.

Key capabilities

  • Configurable intake and approval workflows
  • Attestation and signoff tracking 
  • Automated evidence and audit outputs
Graphic showing project deployment that has a new risk and recommended controls

Monitor posture across platforms  

Contextualize AI telemetry with frameworks and policies to guide action. 

OneTrust graphic showing widgets from AI agent detection

Continuously monitor AI models and agents

Capture AI quality, safety, and performance signals in real time.

Key capabilities

  • Drift, quality, safety, and performance monitoring 
  • Telemetry ingestion across AI platforms 
  • Continuous model and agent observation

Enable contextual risk decisioning 

Enrich runtime signals with regulatory and usage context.

Key capabilities

  • Correlate signals with regulatory obligations 
  • Align monitoring to intended purpose 
  • Prioritize risk using data sensitivity
Graphic showing AI asset management and highlighting risk score
Graphic showing automated policy enforcement

Detect AI policy violations

Centralize AI risk, ownership, and compliance in one program center.

Key capabilities

  • Detect and log AI policy violations in real-time
  • Identify PII and sensitive attributes 
  • Surface risks before incidents occur

Programmatically enforce controls  

Apply policy-driven guardrails consistently across AI workflows.

Apply runtime guardrails 

Enforce safe and compliant AI behavior across AI platforms.

Key capabilities

  • Prompt and output filtering 
  • Block or allow actions by policy 
  • Constrain unsafe production behavior

View the OneTrust control plane in action, with live observability and policy enforcement for AI workloads on AWS Bedrock.

AI regulations around a circle of data based application logos with a process flow outlined on the right
Graphic showing user defining data policy and controls

Apply data and pipeline policies 

Define and natively enforce controls across data, models, and agents.

Key capabilities

  • Sensitive data masking and redaction
  • Required evalutations prior to promotion to production
  • Runtime guardrails to block unsafe or noncompliant responses
  • Re-reviews whenever a model, agent, dataset, or usage pattern materially changes

Govern agents and MCP environments 

Embed policy contracts across agents and MCP environments.

Key capabilities

  • Agent registration with defined purpose 
  • Enforced permissions and allowed actions 
  • MCP policy enforcement with audit logs
Preview of policy recipe creation, code generation for policies and assigning policy to AI agent

Proven results

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: 

KPMG logo
Deloitte logo
Protiviti logo

Technology partners: 

Google Vertex logo
data bricks logo
Amazon Sagemaker logo
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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

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.

Ready to get started?

See how OneTrust can help you automate continuous governance to maximize your return on AI investments.