Gen AI: Navigating Insider Risks to Data

Metomic CEO Richard Vibert Unpacks Strategies to Protect Critical Data
Richard Vibert, CEO, Metomic

The introduction of generative AI to the enterprise introduces a new era of insider risks, posing significant challenges to data loss prevention. Richard Vibert, CEO of Metomic, emphasizes the urgency of addressing these emerging risks to protect critical data.

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In an interview with Information Security Media Group, Vibert also outlines Metomic's role in assisting customers with protecting their data in gen AI projects and offers actionable recommendations for security and technology leaders:

  • Understanding the unique challenges gen AI poses to data security;
  • Implementing advanced DLP solutions tailored to the gen AI landscape;
  • Asking critical questions about data use and protection in gen AI initiatives.

Vibert is the CEO and co-founder of Metomic, a next-generation data security solution that helps companies reap the productivity and collaboration benefits of popular workplace apps without exposing sensitive information to the wrong people and without getting in the way of employees doing their jobs. Prior to founding Metomic, he led data strategy at Sotheby's.


About the Author

Tom Field

Tom Field

Senior Vice President, Editorial, ISMG

Field is responsible for all of ISMG's 28 global media properties and its team of journalists. He also helped to develop and lead ISMG's award-winning summit series that has brought together security practitioners and industry influencers from around the world, as well as ISMG's series of exclusive executive roundtables.




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