Data Use Governance

Enables data use with real-time policy enforcement for AI-ready data.

by OneTrust, LLC · Compliance & Risk Management

Data Use Governance screenshot

Executive Summary

OneTrust's Data Use Governance solution is designed to remove data use bottlenecks often created by manual data governance practices. It is specifically built for modern, AI-driven data environments, providing the necessary controls to ensure responsible and compliant data utilization. The solution delivers industry-first capabilities focused on accelerating AI initiatives through automated data policy enforcement. By enforcing data policies with programmatic controls, it ensures effective data governance and enables organizations to confidently leverage their data for AI, while maintaining compliance and reducing operational friction.

Use Cases

  • Accelerate AI initiatives with automated data policy enforcement
  • Remove data use bottlenecks created by manual data governance practices
  • Enforce data policies with programmatic controls for effective data governance

Features

Intelligence

  • Real-time Policy Enforcement: Enables real-time policy enforcement for AI-ready data.
  • Automated Data Policy Enforcement: Delivers automated data policy enforcement to accelerate AI initiatives.

Technical Specifications

Architecture
AI-Ready Governance Platform with native data controls and API/SDK/data feed integrations
Deployment
SaaS
API Available
Yes

Infrastructure

  • Snowflake
  • Databricks

AI/ML Stack

  • AI-driven data classification

Integrations

  • Amazon API Gateway

Security & Compliance

Certifications: SOC 2

Pricing

Starting Price
Contact sales
Target Customer
Mid-Market,Enterprise

About OneTrust, LLC

OneTrust provides the AI-Ready Governance Platform that helps organizations manage privacy, data governance, risk, compliance, and security obligations. Its platform supports privacy management, consent and cookie compliance, third-party risk management, and AI governance workflows to operationalize regulatory requirements and internal policies, enabling responsible data and AI use.

Founded: 2016 · Headquarters: Atlanta, Georgia, United States · Employees: 1,001-5,000 · Private

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