Snowflake to Acquire Natoma, Adding Secure AI Connectivity

Snowflake to Acquire Natoma, Adding Secure AI Connectivity

Snowflake (NYSE: SNOW) announced a definitive agreement to acquire Natoma, a platform that provides an enterprise Model Context Protocol (MCP) for AI agents. The deal will let Snowflake embed Natoma’s governance and identity layer into its AI Data Cloud, enabling customers to connect AI tools such as Snowflake Intelligence and Cortex Code to enterprise applications with verified MCP servers.

Snowflake Announces Intent to Acquire Natoma

The acquisition will create a “natively integrated governance and identity layer for AI agents and MCP tool access,” according to Snowflake. Natoma’s MCP platform is designed to manage how AI agents interact with databases, APIs, SaaS applications, cloud environments, VPCs, and on‑prem infrastructure. The agreement is subject to customary closing conditions, and Snowflake said the integrated capabilities will be available to customers soon.

Technical Context of the MCP Platform

Natoma’s Model Context Protocol provides a verified library of MCP servers that enforce identity‑aware authorization, policy guardrails, and full auditability for AI‑driven workflows. Snowflake’s statement notes that the platform adds “trust, visibility, identity‑aware authorization, policies and complete auditability” to connections between AI agents and enterprise systems such as Slack, email, CRM, Jira, and internal APIs. The company highlighted that 96% of organizations still struggle to scale AI across the enterprise, and that fragmented governance and shadow AI pose data‑exfiltration risks—issues Natoma’s technology aims to mitigate.

Enterprise Impact and Use Cases

By integrating Natoma, Snowflake customers will be able to enrich trusted business data with contextual information from tools like Slack, email, and Jira, allowing Snowflake Intelligence and Cortex Code to generate more relevant outcomes. Natoma’s platform is already deployed at several of the world’s largest enterprises, delivering scale, visibility, and policy enforcement for production‑grade agentic systems. Snowflake CEO Sridhar Ramaswamy emphasized that the combined solution will let “coding agents…come alive inside the enterprise—secure, auditable and ready to operate at scale.”

Key Takeaways

  • Snowflake signed a definitive agreement to acquire Natoma, a provider of an enterprise Model Context Protocol platform for AI agents.
  • Natoma’s MCP library will enable Snowflake customers to securely connect AI tools (e.g., Cortex Agents, Snowflake Intelligence, Cortex Code) to SaaS, cloud, VPC, and on‑prem systems with built‑in identity and policy controls.
  • The acquisition extends Snowflake’s governance perimeter from data assets to AI actions and workflows, aiming to address the 96% of organizations that still face challenges scaling AI.

TechInsyte's Take

The deal positions Snowflake as a broader control plane for AI‑driven operations, not just data storage. While the integration timeline remains vague, enterprises should monitor how quickly Natoma’s MCP capabilities become available within Snowflake’s AI Data Cloud and assess whether the added governance meets their risk‑management requirements.

Source: Businesswire

TechInsyte technology intelligence workspace

About TechInsyte

TechInsyte is a B2B technology news and intelligence platform covering major developments across AI, cloud, cybersecurity, enterprise software, semiconductors, startups, policy, and markets. We focus on the signals that matter for decision-makers.

The idea behind TechInsyte is simple. Technology moves fast, and professionals need clear information without unnecessary noise. New platforms emerge, security risks evolve, enterprise software changes, and the AI shift continues to reshape how companies operate. We help readers understand those developments in a practical and business-focused way.

Our coverage focuses on meaningful technology updates, product launches, enterprise strategy, funding activity, regulatory change, infrastructure trends, and the broader forces shaping the technology industry. The goal is to keep every article clear, relevant, and useful for professionals who need to know what happened, why it matters, and what it could mean next.

TechInsyte is built for readers who want sharper context, cleaner coverage, and a more focused view of technology without the clutter.