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. In that environment, 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 … the utmost priority,” she 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 [and] 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 simplifies metadata management

Recent Horizon Catalog enhancements include open sharing of 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.

“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