Immuta, a prominent data security company, has expanded its integration with Snowflake, the AI Data Cloud company Quite a bit. The new agentic data access features from Immuta and Snowflake announced at Snowflake Summit 2026 are intended to allow enterprises not only to deploy autonomous AI agents safely but also to establish automated security boundaries that are strict.
Organizations will have to track data access more closely as they move away from static AI models towards interactive, multi-agent autonomous systems. Traditional, human-centric security structures do not have the capacity to keep up with software agents that independently fetch, analyze, and process enterprise data. Enterprises are highly likely to face data exposure, non-compliance with regulations, and prompt-injection vulnerabilities if they do not have real-time, context-aware policy enforcement.
To solve the above problems, Immuta has decided to expand their data security framework to include Snowflake’s new innovations such as Snowflake Horizon Catalog, Cortex Analyst, and Cortex Agents. The alignment between these frameworks will help ensure that enterprise data policies control all queries and actions taken within Snowflake’s framework.
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“Data security and governance cannot be an afterthought in the age of agentic AI; they must be woven into the very fabric of how these autonomous systems operate,” said Mo Plassmeyer, Chief Product Officer at Immuta. “Our expanded collaboration with Snowflake ensures that as organizations unlock the massive potential of autonomous agents, they have the ironclad control and absolute visibility required to protect their most sensitive data assets.”
“Ensuring trusted data access is paramount as our customers build and scale autonomous AI workflows on the Snowflake AI Data Cloud,” said Amy Kodl, SVP of WW Partner and Alliances at Snowflake. “With Immuta’s new agentic data access capabilities integrated into our platform, enterprises can confidently empower Cortex Analyst and Cortex Agents, knowing that their underlying data is secure and compliant at all times.”
Dynamic Controls for Next-Generation Autonomous Systems
The newly announced capabilities introduce comprehensive data protection mechanisms specifically engineered for autonomous software interactions:
- Contextual Access Control for AI Agents: Immuta’s policy engine continuously evaluates security contexts, implementing row-level filtering and column-level masking before any data reaches LLMs and analytical engines. This ensures that no unauthorized information extraction takes place while running automated tasks.
- Unifying Data Governance Throughout the Lifespan: Compliance, privacy, and sovereignty policies can be defined once in Immuta and enforced automatically throughout all Snowflake analytical nodes without having to individually set up different security configurations.
- Detailed Auditing for AI Operations: With the integration, full telemetry data is collected for data usage patterns, giving compliance officers detailed visibility into what particular model, agent, or prompt used which enterprise table.
Availability
The agentic data access integrations are currently available in a preview phase to select enterprise clients, with broader commercial availability slated for the third quarter of 2026.
