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Solutions for Data Teams

Ship Governed Data and AI Faster

Data teams can’t scale AI with siloed data and inconsistent controls. The OneTrust AI-Ready Governance Platform™ embeds governance directly into the AI lifecycle — from inventory and risk assessment to runtime guardrails — so teams can scale trusted data and AI across their organization. 

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AI is broadly adopted — but rarely scaled. 
While 88% of organizations deploy AI in at least one business function, fewer than 10% have fully scaled AI agents in any single function, highlighting a widespread gap between experimentation and operationalization

McKinsey


Governance fragmentation is the primary structural blocker to scale.
More than 40% of executives cite separate data and AI governance models as the single largest obstacle to aligning AI strategy, making it the most significant organizational inhibitor to AI success

MIT and Databricks 


AI value realization is at risk.
By 2027, 60% of organizations will fail to capture the anticipated value of their AI use cases, primarily due to fragmented and incohesive ethical governance frameworks

Gartner 

AI Can’t Scale Without Operational Governance

Data teams are responsible for turning AI investment into enterprise value while ensuring data is trusted, governed, and responsibly used. But governance today is fragemented across Data platforms and pipelines, AI development environments, privacy and compliance workflows and security and risk teams.

The result: AI initiatives stall and teams struggle to scale trusted data and AI. 

OneTrust embeds governance directly into data and AI workflows so teams can scale AI safely and innovate faster. 

Achieve More With Continuous Governance

Scale AI Without Governance Bottlenecks Policies and controls apply automatically across pipelines and AI workflows—reducing manual reviews and approval delays.

Reuse Trusted Data and AI Assets Standardized governance makes it safe to reuse datasets, features, and models across teams and use cases.

Align Data, Privacy, and Risk Teams Governance workflows coordinate approvals across domains without slowing delivery.

Maintain Visibility Across AI Systems A system-of-record connects AI systems, models, datasets, and policies across the enterprise.

Scale AI Without Governance Bottlenecks Policies and controls apply automatically across pipelines and AI workflows—reducing manual reviews and approval delays.

Reuse Trusted Data and AI Assets Standardized governance makes it safe to reuse datasets, features, and models across teams and use cases.

Align Data, Privacy, and Risk Teams Governance workflows coordinate approvals across domains without slowing delivery.

Maintain Visibility Across AI Systems A system-of-record connects AI systems, models, datasets, and policies across the enterprise.

Operationalize Governance Across Data, AI, and Privacy

Scaling AI responsibly requires governance across data, AI, and privacy. 

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AI Governance

Centralized AI inventory and lifecycle visibility

Policy-to-risk-to-control mapping

Governance across development and production

Accountability for AI systems


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Data Use Governance

Consistent data use policies across platforms

Standardized governance workflows

Trusted datasets that can be reused safely 


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Privacy Automation

Automated privacy assessments and approvals 

Alignment between privacy and data teams 

Fewer late-stage compliance blockers


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Built for Modern AI Platforms and Trusted by Data Teams

OneTrust integrates with the platforms where data and AI are built and deployed — including Snowflake, AWS Bedrock, Azure Foundry, Databricks, and more — so governance policies, risk controls, and privacy workflows are applied directly within your data and AI stack. 

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“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."

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Ren Nunes
Senior Manager, Data & AI Governance, Blackbaud

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“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

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Key Insights for Security and Risk Leaders

Explore research, guidance, and expert insights to help data teams scale trusted data and AI governance programs.

Frequently Asked Questions

AI governance ensures AI systems are developed, deployed, and operated responsibly. 

For data teams, this means maintaining visibility into AI systems, enforcing data usage policies, and applying controls across the lifecycle of models, datasets, and agents.

Traditional governance focuses on reviewing AI before deployment. Continuous governance extends across the full AI lifecycle by maintaining a system-of-record for AI assets, monitoring system behavior, and enforcing policies through runtime guardrails.

Privacy automation integrates privacy reviews directly into data and AI workflows. Teams can automate privacy impact assessments, approvals for data usage, and enforcement of policies for regulated data.

Governance programs span multiple teams responsible for risk, privacy, data, AI, and customer data use.

OneTrust connects these domains on a single platform so organizations can coordinate governance workflows, maintain shared visibility across systems, and enforce policies consistently across the enterprise.


This enables collaboration across teams responsible for:

  • Data and AI governance 

  • Privacy and data protection 

  • Security and risk management

  • Marketing data and consent

 

See Continuous Governance in Action

Watch how OneTrust unifies AI oversight, data use controls, privacy automation, and runtime guardrails—so your platform scales trusted reuse and turns AI investment into enterprise value. 

Watch Demo



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