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OneTrust

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Manages data effectively for compliance and trust.

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Overview

OneTrust offers a comprehensive platform that empowers organizations to manage data effectively, ensuring compliance with privacy regulations and fostering trust. The platform centralizes and organizes trust program data, enabling secure collaboration and responsible data use across the enterprise.

Key Features:

  • Streamline consent and preference management to enhance consumer transparency.
  • Automate data subject request fulfillment from intake to secure response.
  • Integrate with existing business tools while maintaining evergreen data inventories.

Use Cases:

  • Managing supply chains and cyber threats.
  • Navigating compliance, regulations, and ethical issues.
  • Governing AI use without hindering innovation.

Benefits:

  • Enhanced compliance and risk management.
  • Improved data visibility and control.
  • Streamlined operations through automation and regulatory guidance.

Capabilities

  • Embeds compliance and control across the AI lifecycle.
  • Enables data use with real-time policy enforcement for AI-ready data.
  • Streamlines consent and preference management for consumer transparency.
  • Automates third-party management from intake and risk assessment to mitigation and reporting.
  • Enables responsible use throughout the data lifecycle.
  • Scales resources and optimizes the risk and compliance lifecycle.
  • Shortens approval cycles for data enablement with policies directly connected to native data controls in data & AI systems.
  • Automates policy enforcement at machine speed, ensuring compliance without slowing down AI, analytics, and data initiatives.
  • Applies governance policies at project initiation and throughout project lifecycles, ensuring compliance without unnecessary enterprise-wide restrictions.
  • Uses AI-driven classification with both structured and unstructured data to capture four key areas of data context: business, regulatory, consent, and data, and stores this context as machine-readable data labels.
  • Transforms documented privacy, consent, and regulatory policies into enforceable control code to manage data across its entire lifecyclefrom data ingestion and usage to data sharing.
  • Connects data policies directly to real-time, native data controls in modern data and AI systems to shift from policy attestation to policy enforcement.
  • Audits the real-time application of the data controls and gain visibility into the application of column masking and row-filtering controls in order to achieve continuous governance.
  • Automates data policy enforcement and keeps up with the velocity at which AI-driven systems process and utilize data.
  • Predefines conditions, rules, and policies that regulate AI-ready datasets.
  • Creates and monitors data contracts that explicitly define how data can be used based on purpose and regulatory and privacy frameworks.
  • Applies governance dynamically within data pipelines, ensuring continuous compliance, reducing administrative overhead while mitigating risk.

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