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AI & Enterprise

Automation, collaboration lower AI governance barriers

As enterprises expand AI adoption, control and management are emerging as major issues, with growing agreement that AI will struggle to take root without proper oversight. At the same time, overly strict controls can burden user experience and make AI harder to use, raising calls for practical governance. Snowflake is accelerating efforts to balance data governance and AI use, unveiling new sharing features and updates to its Horizon Catalog platform.

AI & Enterprise

Security must be close to data, Snowflake role set to grow

Snowflake Chief Security and Trust Officer Mayank Upadhyay said security must be built into the data platform and become part of normal workflows. He said Snowflake is approaching AI security in three layers: protecting large language models, managing agent identity and permissions, and securing the data layer. He highlighted the Horizon Guardrails product and the Natoma acquisition, and stressed fast feedback loops, data sovereignty and zero data retention.