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Snowflake Pushes Governance-First Agentic AI Platform at Summit

A shared context layer standardizes business definitions, enabling enterprises to give agents verified identities, use real-time data, keep audit trails.

Overview

  • Snowflake announced at its Summit on Tuesday a suite of features that position the company as an agentic AI platform focused on governed context, agent security, and native streaming.
  • Horizon Context, Semantic Studio and Semantic View Autopilot form a shared semantics layer so AI agents and BI tools operate from the same trusted business definitions.
  • Agent Identity plus new AI security posture and trust-center tooling give agents verified identities, role-based permissions and complete activity audit trails to support zero-trust access.
  • Datastream, native Kafka compatibility, Snowpipe streaming updates and zero-copy integrations with SAP and Salesforce bring fresher, source-semantic data into Snowflake to cut data movement and speed agent workflows.
  • Developer and runtime tooling—CoCo, CoWork, Snowpark and Adaptive Compute—aim to move agents from pilots to production with mixed availability across general release and public or private previews; the rollout follows a recent $6 billion AWS collaboration to help customers deploy AI.