Enterprise AI Governance at Snowflake: Balancing Innovation and Risk
Ragini Ramalingam
[un]prompted 2026 — AI Security Practitioner Conference · Day 1 · 2
Snowflake's enterprise security director Ragini Ramalingam detailed how the AI data cloud governs AI adoption internally — at a company where "engineering at speed" is in the DNA. Her framework centers on four principles: cross-functional governance structures that enable fast decisions, four-pathway visibility into AI usage, enterprise guardrails that constrain execution authority rather than block adoption, and continuous vendor engagement to close control gaps before they become incidents. ---
AI review
The Snowflake governance framework is more sophisticated than the average enterprise AI governance talk, and the feature-level assessment model for coding agents is genuinely useful. But this is still a governance talk from a big tech company, and 'you cannot stop AI adoption' is not a novel insight.