Aembit, the identity and access management platform for agentic AI, has announced a new integration with Snowflake, the AI Data Cloud company, aimed at reducing identity risks posed by third-party AI agents. The partnership addresses the growing security challenges as AI agents increasingly collaborate across enterprise ecosystems, making autonomous decisions and accessing sensitive data.
The integration allows organizations to preserve the identities of both the user and the agent, apply centrally managed access policies, and enforce an agent’s Snowflake access based on the specific task being performed. This gives enterprise identity and security teams greater control over how and when agents reach sensitive data, while improving visibility and accountability across agentic workflows and eliminating long-lived credentials.
“As AI becomes central to enterprise operations, securing agentic workflows is the next major frontier,” said 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.”
“Securing the agentic enterprise requires an entirely new model of trust, visibility, and control,” said Mayank Upadhyay, chief security and trust officer of Snowflake. “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 integration marks a critical milestone in establishing the trusted foundation required to run next-generation AI agents safely in production environments. For additional insights into modern AI security and governance strategies, users can visit the Snowflake blog.
About Aembit: Aembit is the identity and access management platform for agentic AI and workloads. It enforces access based on identity, context, and centrally managed policies, giving organizations a singular place to control access risk from AI agents, automate credential management, and accelerate AI adoption.