Rangarajan Srirangam Senior Regional Vice President, Solution Engineering – India, Snowflake
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“Trust is the foundation of any agentic enterprise. As AI agents move out of the lab and into daily operations, they increasingly access sensitive data, interact with applications, and take actions across business workflows. When AI has that level of reach, security can’t be something you try to patch on later; it has to be built into your data and AI foundation from day one. At Snowflake, our approach is to secure the full AI workflow: protect the data, secure the model and govern the agent.
Snowflake Horizon Catalog gives teams a single, connected baseline for governance and context. Snowflake Trust Center takes that further with AI Security Posture Management, giving organisations a clear line of sight to catch misconfigurations, monitor runtime safety and investigate unusual agent activity. Through Agent Identity, every action an agent takes is traceable and auditable, while built-in guardrails help block risks like prompt injection. Cortex AI Gateway brings identity, policy and audit controls to how AI agents access models, data, MCP servers and enterprise tools, helping organisations maintain visibility and control.
What differentiates Snowflake is that security is integrated into the platform rather than treated as a layer around individual AI applications. By keeping governance close to enterprise data and extending those controls across models, agents and tools, we are helping organisations innovate with confidence and securely scale from AI prototypes to truly agentic enterprises.”
