Striim, Inc. announced at Snowflake?s annual user conference, Snowflake Summit 2025, the launch of Sherlock AI and Sentinel AI ? two governance AI agents powered by Snowflake Cortex AI ? that help organizations detect, tag, and protect sensitive upstream data in transit, minimizing exposure risks, preventing compliance penalties, and safeguarding corporate reputation through continuous, near real-time monitoring.
Enterprises confront a critical challenge: maintaining control over sensitive information as it flows across diverse data environments without compromising regulatory compliance or operational efficiency. Effective governance begins with visibility. With Sherlock AI and Sentinel AI, Striim delivers the velocity, security, and precision organizations need to protect their data pipelines in near real time.
These AI agents work in concert to proactively reduce risk while embedding analytical processes into operational workflows, helping businesses maintain compliance and control over their data assets. Sherlock AI delivers this transparency by pinpointing sensitive information within datasets before they're shared or transferred through data pipelines across on-premise or cloud-based enterprise data repositories, third-party databases, and SaaS environments. This helps organizations assess potential risks upstream and proactively apply appropriate governance measures.
Once data is in motion, Sentinel AI continuously analyzes live data streams to detect and protect sensitive information as it moves ? automating encryption, masking, and compliance enforcement in real time. Leveraging Cortex AI, the app detects sensitive data anywhere in pipeline events, even if misplaced or mislabeled, going beyond static rule-based controls.
This automatically prevents exposure and helps businesses meet enterprise-grade compliance standards, including GDPR, CCPA, and HIPAA data governance requirements without adding complexity. With Sherlock AI and Sentinel AI, Striim delivers the efficiency, security, and precision organizations need to protect their data pipelines in real time. These AI-powered agents work in concert to proactively reduce risk while embedding analytical processes into operational workflows, helping businesses maintain compliance and control over their data assets.
Striim will introduce more AI agents in the second half of 2025 to detect and manage enterprise data for real-time use cases.
