Aembit and Snowflake Partner to Secure AI Agent Access to Data

Aembit, a specialist in identity and access management for agentic AI, has announced a new integration with Snowflake, the AI Data Cloud company. This collaboration aims to significantly reduce the identity risks associated with third-party AI agents that need to access business systems and sensitive data.

As AI agents become more autonomous and integrated into enterprise workflows, they are increasingly making decisions, accessing confidential information, and invoking external tools. This presents a complex security challenge, as traditional security frameworks struggle to keep pace with the dynamic nature of agentic operations. It can be difficult to ascertain who authorized an action, which specific agent performed it, and whether the access granted was appropriate for the task at hand.

The new integration within Snowflake's security ecosystem is designed to establish a new benchmark for enterprise AI governance. It enables organizations to maintain clear identities for both users and the agents acting on their behalf. Crucially, it allows for the application of centrally managed access policies and enforces an agent's access to Snowflake based on the specific task it is performing.

This granular control provides enterprise identity and security teams with enhanced oversight over how and when agents interact with sensitive data. It promises to improve visibility and accountability across complex agentic workflows, while also eliminating the need for long-lived, potentially risky credentials.

"As AI becomes central to enterprise operations, securing agentic workflows is the next major frontier," stated David Goldschlag, Aembit co-founder and CEO. "Integrating with Snowflake allows us to deliver the critical identity and access management controls organizations need across the most crucial resources. This gives enterprise security teams greater control over how agents access data within Snowflake, with clearer visibility into which agent acted, on whose behalf, and under what access restrictions."

Mayank Upadhyay, chief security and trust officer at Snowflake, echoed this sentiment, emphasizing the need for a new model of trust and control in the agentic enterprise. "Securing the agentic enterprise requires an entirely new model of trust, visibility, and control," Upadhyay said. "Through our integration with Aembit, we are establishing a secure foundation for agent interoperability, equipping organizations with the precise access capabilities and trust required to run autonomous workflows safely."

This partnership represents a significant step towards building a trusted foundation for running next-generation AI agents safely in production environments. By addressing the critical need for secure agent interoperability, Aembit and Snowflake are paving the way for more robust and secure AI adoption across industries.