SOLVING AGENT GOVERNANCE WITH NATOMA
rarely interacted with the practitioners monitoring the dashboards, defending those same systems against incoming threats. But with AI accelerating the threat landscape, Mayank argues that this traditional separation is no longer viable.
Traditionally, defensive teams relied heavily on external security vendors to keep them safe. Today, that model is breaking down.
“ The world is changing so fast now that many times the vendors are not able to keep up with that curve,” Mayank says.“ Thanks to AI, everything is changing every three months. It’ s very important for you to have the builders and the defenders work together so they’ re both building and defending at the same time.” For Mayank, bridging this gap requires a foundation of unified data.
Snowflake acquired Natoma in June 2026 so its customers can securely connect Snowflake agents and other AI platforms to enterprise systems across SaaS applications, cloud environments, VPCs and on-prem infrastructure through a verified library of MCP servers.
Natoma provides the control and governance fabric for these connections, helping enterprises manage how AI agents discover, access and act across systems – with trust, visibility, identity-aware authorisation, policies and complete auditability built in.
This means data held in Snowflake can be correlated with contextual information from Slack, email, CRM, Jira, internal APIs, databases and applications so Snowflake Intelligence and Cortex Code can deliver more relevant, actionable outcomes.
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