OneTrust Unveils the Future of Privacy in the Age of AI

OneTrust Unveils the Future of Privacy in the Age of AI

OneTrust (PRNewsfoto/OneTrust)

New AI agents and automation capabilities scale the productivity and effectiveness of privacy teams

IAPP Global Privacy Summit – OneTrust, the platform helping organizations use data and AI responsibly, announced multiple AI innovations that represent a breakthrough in traditional privacy management and redefine what’s possible for modern privacy teams.

“Today, OneTrust is unveiling the future of privacy, built for the era of AI,” said Blake Brannon, Chief Product & Strategy Officer at OneTrust. “As AI adoption accelerates in all organizations, protecting personal data and upholding customer trust has never been more critical. At the same time, privacy teams are overwhelmed with growing risks, new technologies, and the rapid pace of change. Our latest AI innovations help teams scale their operations, increase efficiency, and respond faster—without sacrificing governance or control. OneTrust gives privacy leaders the tools to meet this moment with confidence, turning AI from a challenge into a force multiplier.”

“At a time when privacy teams have never been more critical, OneTrust is using AI to reimagine their role,” said Ryan O’Leary, Research Director for Privacy and Legal Technology at IDC. “For nearly a decade, OneTrust has focused on the challenges faced by privacy professionals. Now, strategically using AI to address those challenges, OneTrust is again demonstrating its advanced vision and continued innovation leadership.”

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With the following innovations, OneTrust enables privacy teams to govern well and move fast:

AI agents
Two new OneTrust agents, available for preview soon, are designed to automate not just simple tasks, but entire privacy processes. The Privacy Breach Response Agent analyzes data breaches and generates the guidance and tasks necessary to meet notification windows in a fraction of the time required historically. The Privacy Risk Assessment Agent automates the assessment process and flags risks for the privacy team to address.

AI-assisted workflows
Companies often have hundreds or even thousands of past assessments and internal documents that contain information that is highly relevant, but inaccessible, to new assessments. As a result, work is duplicated, respondents suffer from assessment fatigue, and both the quality and timeliness of risk analysis is impacted negatively. OneTrust’s new AI-assisted workflows address this problem.

AI Document Scanning, available with OneTrust’s spring platform release, and AI Inventory Analysis, currently in preview, auto-populate assessments by scanning documents, past assessments, and existing inventories to identify relevant information and pre-populate new assessments. These capabilities, combined with OneTrust’s existing embedded data discovery capabilities, offer privacy teams the comprehensive view of the organization’s data and business context required to manage privacy risk more efficiently.

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OneTrust Copilot
Privacy teams struggle to keep pace with nearly 4,000 regulatory updates a year, and this is made only more difficult by a lack of insight into their own data and programs. Available in DataGuidance today and across the OneTrust Platform as part of OneTrust’s spring platform release, OneTrust Copilot gives privacy teams easy access to the exact regulatory, product, and program intelligence they need to keep up. Referencing sources such as OneTrust DataGuidance, the myOneTrust knowledgebase, and OneTrust program data, OneTrust Copilot immediately delivers trusted regulatory information, insights into program effectiveness, and guidance on enabling or configuring new capabilities in OneTrust.

Leading with responsible AI
As OneTrust drives innovation with AI, it leads with the highest standards of responsible AI development. Privacy, technical guardrails, human guardrails, and explainability are embedded by design. With OneTrust, models are not trained on customer data, automated workflows are off by default, human oversight is built in, and all AI-driven decisions are transparent and auditable.

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