MENLO PARK, Calif., May 28 — Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it has signed a definitive agreement to acquire Natoma, an enterprise Model Context Protocol (MCP) platform for AI agents. With the close of this acquisition, Snowflake will establish a natively integrated governance and identity layer for AI agents and MCP tool access, making it easier to securely connect and manage how AI systems interact with their enterprise applications, databases, APIs and tools. By extending governance to AI-driven workflows, Snowflake makes it easier for companies to safely manage not just their data, but also the actions AI agents take across business workflows.
“AI agents are quickly becoming part of how enterprises operate, but intelligence without governance creates risk,” said Sridhar Ramaswamy, Chief Executive Officer of Snowflake. “Agents don’t just need access to data. They need the right context, permissions and policy guardrails to operate safely inside the enterprise. Snowflake has long served as the governed data foundation for enterprises, and with Natoma’s expertise in identity governance and privileged access management, we can extend that trust layer to AI-driven actions and workflows. With Natoma in Snowflake, coding agents can finally come alive inside the enterprise – secure, auditable and ready to operate at scale.”
Snowflake’s recent AI research found that 96% of organizations still face significant challenges scaling AI across the enterprise. The rise of MCP has introduced new challenges around fragmented governance, shadow AI and increased data exfiltration risk as agents connect across enterprise systems. As organizations move from copilots to autonomous AI agents capable of taking actions across enterprise systems, governance and operational control are becoming increasingly critical.
With this acquisition, Snowflake customers will be able to securely connect Cortex Agents, Snowflake Intelligence, Cortex Code 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 authorization, policies and complete auditability built in.
Users will be able to correlate and enrich trusted business data in Snowflake with context from Slack, email, CRM, Jira, internal APIs, databases and applications, enabling Snowflake Intelligence and Cortex Code to deliver more relevant, actionable outcomes, with enterprise-grade security, governance and control.
Natoma’s platform is already deployed at some of the world’s largest enterprises and delivers the scale, visibility and policy enforcement required to securely operate enterprise agentic systems in production. Its team brings deep expertise in MCPs, gateway infrastructure, identity governance and privileged access management, with experience building enterprise security products at a global scale.
“AI agents will only become enterprise-ready if organizations can govern how they operate across systems, applications and tools,” said Pratyus Patnaik, Co-Founder and CEO of Natoma. “Together with Snowflake, we’re building the governance and connectivity layer that enables enterprises to securely operationalize AI at scale.”
Natoma’s capabilities will be integrated into Snowflake’s AI Data Cloud and available to customers soon. By extending governance from data access to AI-driven actions and workflows, Snowflake is advancing its position as the trusted control plane for the agentic enterprise.