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  • Enterprise AI

DataGrail Risk Summit: AI-Privacy Collision Demands Automation


DataGrail Risk Summit: AI-Privacy Collision Demands Automation
  • by: Source Logo
  • |
  • October 24, 2025

DataGrail's Privacy Risk Summit convened top privacy, security, and legal experts to examine how AI, shifting regulations, and consumer demands are redefining privacy programs. Key insights revealed that AI's rapid innovation amplifies risks, positioning privacy as a regulated field akin to cybersecurity, necessitating proactive strategies over mere compliance.

Quick Intel

  • DataGrail Privacy Risk Summit stresses proactive privacy readiness amid AI risks, with automation key to GDPR, CCPA, and global compliance.
  • Keynote by CPPA's Tom Kemp urges operationalizing transparency and data governance to meet consumer demands for data control.
  • Experts like Anthropic's Jason Clinton and Asana's Whitney Merrill call for cross-team collaboration to integrate privacy into AI design.
  • Sessions emphasize embedding transparency and education in operations to scale privacy amid evolving AI ethics and thousands of laws.
  • DataGrail launches Risk Register, centralizing AI-powered insights for risk identification, mitigation, and actionable compliance steps.
  • Platform supports defensible programs by detecting shadow IT and automating workflows for risk assessments and data subject requests.

Evolving Privacy Standards in the AI Era

Keynote speaker Tom Kemp, executive director of the California Privacy Protection Agency (CPPA), outlined a shift from reactive compliance to proactive readiness. Companies must automate transparency, fortify data governance, and prioritize consumer-valued elements like data control. With regulations proliferating, agility in privacy programs is essential to avoid falling behind, as reactive approaches fail to address AI's accelerated risks.

Navigating the Collision of Privacy and AI

Sessions featuring Jason Clinton, Deputy CISO at Anthropic; Whitney Merrill, head of global privacy and data protection officer at Asana; Sunil Agrawal, CISO at Glean; Omer Tene, partner at Goodwin; Shannon Yavorsky, partner at Orrick; and Dr. Gabriela Zanfir-Fortuna, vice president of global privacy at the Future of Privacy Forum, underscored the tension between AI's speed and outdated privacy frameworks. Collaboration across engineering, legal, compliance, and executive teams is vital to embed privacy in AI governance. Thriving organizations treat AI ethics and privacy as intertwined, fostering cultures and policies that balance innovation with integrity amid thousands of global AI laws.

Automation and Transparency in Privacy Operations

Panel discussions and career sessions highlighted automation's role in efficiency, paired with transparency and privacy-first education at all organizational levels. This approach scales operations while building trust, ensuring privacy evolves as a core value rather than a siloed function in AI-driven environments.

CEO Insights on Responsible Data Stewardship

“Consumers expect companies to respect them; taking a consumer-centric approach builds trust and loyalty,” said Kemp. “Transparency should not be seen as a burden but as a way to strengthen your brand and align with growing consumer expectations. It shouldn't be buried and hard to find.”

"This year’s Privacy Risk Summit made it clear: the most forward-thinking organizations are redefining what responsible data stewardship looks like. They’re investing in automation, fostering cross-functional collaboration, and making privacy a core company value,” said Daniel Barber, CEO, DataGrail. “As global regulations tighten and consumer expectations rise, DataGrail is committed to empowering businesses to lead with confidence, stay compliant, and build lasting trust in a privacy-first world."

Introducing Risk Register for AI-Powered Risk Management

Responding to summit discussions, DataGrail unveiled Risk Register, a centralized hub for AI-driven privacy risk management. It aggregates risks across the business, offers context-aware mitigation recommendations, and streamlines compliance with GDPR, CCPA, and beyond. By surfacing shadow IT and vulnerable data, the platform enables proactive assessments, accelerates data subject request fulfillment, and optimizes resources for defensible programs.

About DataGrail

DataGrail is the data privacy company for this era, helping brands minimize risk, stay a step ahead of consumer and employee expectations, and safeguard their reputation. Our complete, data privacy platform is powered by patented Risk Intelligence technology that detects shadow IT and makes vulnerable data visible so brands can proactively manage risk. Leveraging responsible automation at scale and the largest integration network in data privacy, DataGrail automates privacy workflows across systems to perform risk assessments, accelerate data subject request (DSR) fulfillment, and optimize resources.

  • Data GrailPrivacy Risk SummitResponsible AIPrivacy TechAI Governance
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