Securing the Agentic Enterprise Starts With the Data
Snowflake, Thursday, June 18th, 2026
Snowflake outlines a Data-Model-Agent security framework for enterprises deploying autonomous AI agents.
Snowflake's Chief Security and Trust Officer explains how agentic AI introduces new security risks by combining reasoning, data access, and autonomous action. The company proposes a three-layer approach that protects data through least-privilege governance, secures models against prompt injection, and governs agent behavior via distinct identities and tool controls.
The piece emphasizes that security must be built into infrastructure from inception rather than added later, using capabilities like AI guardrails, data movement controls, and approval workflows.