
1Password and Snowflake are integrating to let enterprises govern third-party AI agents across platforms, addressing identity risks as agents access sensitive data.
1Password and Snowflake are integrating their platforms to help enterprises govern what third-party AI agents can access inside business systems. The integration, expected in the second half of 2026, aims to reduce identity risk as autonomous agents make decisions, pull sensitive data, and invoke external tools.
Traditional security frameworks often fall short when agents operate across multiple ecosystems. The companies said the integration will let organizations delegate access without exposing raw credentials, while keeping a complete audit trail of every agent action.
“As enterprises and their developers put AI agents to work, they need to control what those agents can access and trace every action,” said John Torrey, Chief Business Officer at 1Password. “Our integration with Snowflake lets joint customers delegate access securely, without exposing raw credentials, while maintaining a complete audit trail of every interaction.”
Snowflake’s Chief Security and Trust Officer, Mayank Upadhyay, described the move as establishing a secure foundation for agent interoperability. “Securing the agentic enterprise requires an entirely new model of trust, visibility, and control,” he said.
The partnership reflects a broader push by identity and data platform vendors to address the security gaps created by AI agents. Snowflake, which trades under the ticker SNOW, has been deepening its security ecosystem as clients run more AI workloads on its data cloud. 1Password, a private company, protects more than 1.5 billion credentials and counts Canva, GitHub, and Salesforce among its customers.
For Snowflake, the integration adds a governance layer that could make its platform more attractive to enterprises wary of letting AI agents roam freely. For 1Password, it opens a direct channel into Snowflake’s customer base, which includes large financial and technology firms.
The integration is slated for general availability in the second half of 2026. No pricing details were disclosed.
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