Solutions for AI and Platform Teams
Build and Run AI With Governance Built In
OneTrust turns governance policy into runtime controls across homegrown AI, third-party models, and agents, so technical teams can ship faster, reduce risk, and maintain trust.
Only 5% of organizations cite clear AI coordination and accountability.
74% of surveyed organizations report departmental or scaled AI adoption, while very few cite clear accountability
OneTrust 2026 AI-Ready Governance Survey
Through 2028, more than 50% of enterprise AI failures will result from weak accountability.
Weak accountability, rather than model performance, is likely to cause the largest number of enterprise AI failures
Gartner
By 2027, 40% of enterprises will demote autonomous AI agents due to governance failures.
Failures are most likely to occur when organizations fail to distinguish between an agent’s ability to act and the scope of access it is granted
Gartner
AI Is Scaling but Governance Is Still Disconnected
As AI continues to accelerate into production, governance needs to stay connected to how it is built and used.
AI now spans systems, models, agents, data, and vendors. Technical teams need a clear view of what is running, who owns it, what controls apply, and how to show those controls are working. OneTrust connects AI discovery, risk evaluation, policy enforcement, and runtime monitoring so builders can innovate with the right oversight.
- See your AI footprint: Find AI across systems, models, agents, data, vendors, and owners.
- Connect ownership: Bring engineering, architecture, security, privacy, and risk teams into one workflow.
- Govern agents and control AI at runtime: Define what autonomous agents are allowed to do, then monitor and enforce those boundaries as they run.
- Keep governance connected from discovery through deployment and use.
Move from approval-time governance to a repeatable operating model
Give Teams the Context and Controls to Move Faster
Maintain Continuous Visibility See where AI is used and how that use changes across functions, vendors, models, datasets, and agents.
Keep Reviews Moving Standardize intake, risk evaluation, approvals, and evidence so governance keeps pace with adoption.
Enforce Guardrails Carry governance decisions into active AI workflows with policy-driven controls and remediation paths.
Connect Accountability Give teams clear ownership across the AI lifecycle, from initial review through production monitoring.
Maintain Continuous Visibility See where AI is used and how that use changes across functions, vendors, models, datasets, and agents.
Keep Reviews Moving Standardize intake, risk evaluation, approvals, and evidence so governance keeps pace with adoption.
Enforce Guardrails Carry governance decisions into active AI workflows with policy-driven controls and remediation paths.
Connect Accountability Give teams clear ownership across the AI lifecycle, from initial review through production monitoring.
Operationalize Governance Across the Stack
Translate policy intent into machine-ready controls across homegrown and third-party AI.
See the full AI estate
Discover AI systems, agents, models, datasets, projects, agents, vendors, and owners.
Move from intake to approval
Standardize risk tiering, reviews, approvals, attestations, and evidence.
Monitor what runs & enforce controls
Observe models and agents across platforms and connect telemetry to policy and context.
Apply guardrails that block, allow, redact, or restrict AI behavior in real time. This pattern, often called a guardian agent, pairs autonomous AI with policy-driven oversight that acts as conditions change.
Connect anywhere
Built for AI Platforms
OneTrust provides a technology-agnostic governance layer across the places where AI is built, deployed, and used. Connect governance to Microsoft AI Foundry, AWS Bedrock, Google Vertex, Databricks, Jira, Palo Alto Networks, and the workflows your teams already use.
“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
“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
Go Deeper on Operational Governance for AI & Platform Teams
Explore research, guidance, and expert insights for governing AI in production.
Frequently Asked Questions
OneTrust provides a technology-agnostic governance layer across homegrown and third-party AI. It connects policy, inventory, risk data, runtime signals, and evidence so governance works with the tools your teams already use rather than requiring a separate system of record.
Automated intake, risk-based workflows, reusable controls, and policy-driven checks reduce manual review, so teams can ship AI faster without skipping oversight.
A guardian agent is an oversight layer that monitors and constrains what an autonomous AI agent is allowed to do in production, often stepping in to block, allow, redact, or restrict actions as conditions change. OneTrust's runtime enforcement capabilities apply this pattern across homegrown and third-party agents.
Continuous governance maintains visibility into AI behavior after launch, evaluates signals against policy and context, and applies guardrails or remediation when conditions change.
See Continuous Governance in Action
Watch how OneTrust connects policy intent to the systems, signals, and controls that keep AI moving safely in production.
Watch Demo