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This integration addresses a critical governance gap as autonomous AI agents gain permission to execute tasks within enterprise data clouds like Snowflake. By preserving distinct identities for both humans and machines, Aembit enables granular auditing of agent actions without relying on long-lived credentials that pose significant security risks. The move establishes a new standard for managing the expanding attack surface created by multi-agent systems interacting with sensitive business logic.
Aembit Joins Snowflake to Tackle AI’s Next Security Frontier: Trusted Agent Interoperability
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Silver Spring, MD, USA, July 28th, 2026, CyberNewswire To reduce identity risk when third-party AI agents access business systems, Aembit is launching a new integration with Snowflake to help enterprises securely govern third-party agents across platforms. Aembit, the identity and access management company for agentic AI, today announced a new integration with Snowflake, the AI […] The post Aembit Joins Snowflake to Tackle AI’s Next Security Frontier: Trusted Agent Interoperability appeared first on Cyber Security News.
To reduce identity risk when third-party AI agents access business systems, Aembit is launching a new integration with Snowflake to help enterprises securely govern third-party agents across platforms. Aembit, the identity and access management company for agentic AI, today announced a new integration with Snowflake, the AI Data…
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