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Data Privacy

DataGrail listed as a Sample Vendor in Gartner® Hype Cycle™ for Privacy 2025

Donna Estrin - August 12, 2025

As we move deeper into 2025, the conversation around privacy has fundamentally changed. No longer confined to legal checklists or reactive policies, privacy is now a core business priority—driven by the twin engines of rapid AI adoption and evolving global data regulations.

We feel this latest Gartner Hype Cycle for Privacy reinforces this shift: privacy is not just about compliance—it’s a strategic asset. And organizations that invest in operationalizing privacy in scalable, user-centric ways are positioning themselves for long-term success.

AI Has Changed the Nature of Privacy Risk

AI is transforming industries at a breakneck pace—but it’s also introducing unprecedented data risks. According to Gartner, by 2027, more than 40% of AI-related data breaches will be caused by the improper use of (Gen) AI across borders.

A 2025 IBM report found 20% of data breaches involve unmanaged AI tools (shadow AI) with an average breach cost rising to $670,000. Meanwhile, regulatory penalties for privacy violations are expected to increase tenfold by 2026.

The stakes are high. Privacy failures aren’t just financial liabilities—they can erode brand trust and stall innovation. We believe that’s why Gartner is calling for privacy programs that are proactive, scalable, and deeply embedded into organizational workflows.

From Compliance-Heavy to Customer-First

This is where DataGrail is leading by example. Rather than treating privacy as a back-office function, DataGrail empowers companies to operationalize privacy across teams and systems—without the burden of manual, fragmented processes.

With real-time data mapping and AI detection, automated data subject request (DSR) fulfillment, and dynamic consent management, DataGrail provides the infrastructure needed to meet privacy obligations while building user trust.

This level of automation and transparency is becoming essential as technologies like federated learning, synthetic data, and influence AI enter the mainstream. These innovations offer powerful opportunities—but only for organizations that can govern data with precision and accountability.

Privacy-Enhancing Tech Requires Privacy-Ready Infrastructure

The Gartner report also shares insights on the rise of privacy-enhancing technologies (PETs), including homomorphic encryption, confidential computing, and differential privacy. These tools help organizations safeguard sensitive data while still enabling valuable insights—but implementing them at scale requires more than just tooling.

You need infrastructure that supports privacy by design.

DataGrail fills that gap by integrating privacy operations into the tech stack, enabling businesses to adopt PETs without losing visibility, control, or agility.

Privacy UX: A Competitive Differentiator

Today’s users demand more than a link to a privacy policy. They want simple, intuitive tools to manage their data in real time. Gartner notes that self-service privacy portals are fast becoming a best practice.

The DataGrail Privacy Request Center exemplifies this trend. It empowers users to update their communication and consent preferences seamlessly—reducing friction, strengthening brand trust, and future-proofing customer relationships.

Looking Ahead: A Human-First, Scalable Approach

Privacy isn’t just about avoiding penalties—it’s about building resilient, trustworthy, and innovative organizations. Companies that embrace privacy as a cross-functional, customer-first initiative will not only comply with regulations—they’ll lead the market.

With its blend of automation, transparency, and user empowerment, DataGrail is more than a privacy tool—it’s a foundation for growth in the AI era. Access the full report here. 

Gartner, Hype Cycle for Privacy, 2025 , 28 July 2025, Stefan DumitrescuBernard Woo
GARTNER is a registered trademark and service mark, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
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