As AI adoption accelerates, organizations are rethinking how data is governed and shared at scale, with AI-driven data governance emerging as a key priority. New advances in automation and intelligent governance are making trusted data more accessible across the enterprise while reducing the complexity of managing it.
Financial services organizations rely on a vast network of partners and data-sharing relationships to support everything from marketing and customer service to transaction processing. As a result, secure and efficient data sharing has become a critical requirement for running core business operations, according to Christina Egea (pictured, right), senior vice president of product and enterprise data at Capital One Financial Corp.
“Data sharing is a critical part of our business and doing it securely is of the utmost priority,” Egea said. “We’ve had a great partnership with the Snowflake team leveraging their sharing capabilities that really put us in a spot to understand, at the most granular of levels, what data is going in and out of the company, how it’s being accessed.”
Egea and Prasanna Krishnan (left), head of Horizon Catalog and collaboration at Snowflake Inc., spoke with theCUBE’s Dave Vellante and Rebecca Knight at Snowflake Summit 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI-driven data governance and the growing importance of secure, policy-driven data sharing in highly regulated industries. (* Disclosure below.)
AI-driven data governance in focus
Recent Horizon Catalog enhancements include open sharing for Iceberg data, governed access across external engines, and expanded AI catalog capabilities. A key advancement has been the use of AI to automate and simplify both data governance and contextual metadata management, reducing manual effort while improving usability and control, according to Krishnan.
“If you think about catalogs, traditionally, a lot of the catalogs have suffered from a lot of manual work that needs to go into setting up governance and setting up the metadata context,” Krishnan said. “With Horizon, we’re really automating all of that.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Snowflake Summit 2026:
(* Disclosure: TheCUBE is a paid media partner for Snowflake Summit event. Neither Snowflake, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.
- 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more
- 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network.
About SiliconANGLE Media
SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.
Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.



