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Striim Unveils AI Agents for Real-Time Data Governance with Snowflake Cortex AI

Striim, Inc.Original Link2 minutes
DataGovernance
ArtificialIntelligence
Snowflake

Striim announces Sherlock AI and Sentinel AI, powered by Snowflake Cortex AI, to enhance real-time data governance and compliance for enterprises.

SAN FRANCISCO, June 03, 2025 — Striim has unveiled two innovative AI agents, Sherlock AI and Sentinel AI, at Snowflake Summit 2025. These agents, powered by Snowflake Cortex AI, are designed to help organizations detect, tag, and protect sensitive data in near real-time, minimizing exposure risks and ensuring compliance.

Key Features of Sherlock AI and Sentinel AI

  • Sherlock AI: Identifies sensitive data before it is shared or moved across pipelines, enabling proactive risk assessment.
  • Sentinel AI: Continuously monitors live data streams, automating encryption, masking, and compliance enforcement in real-time.

Industry Perspectives

Alok Pareek, Co-Founder and EVP of Engineering at Striim, emphasized the importance of upstream data governance: "Sherlock AI identifies blind spots, while Sentinel AI protects data in motion. This approach prevents leaks and reduces costs for organizations and regulators."

Dwarak Rajagopal, VP of AI Engineering at Snowflake, added: "Striim’s AI agents, powered by Snowflake Cortex AI, enable businesses to innovate confidently while maintaining data security."

Compliance and Efficiency

The AI agents help enterprises meet stringent regulations like GDPR, CCPA, and HIPAA by embedding governance into operational workflows. This eliminates the need for slow, manual processes and ensures continuous compliance.

Future Plans

Striim plans to introduce additional AI agents in late 2025 to further enhance real-time data management capabilities.

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Media Contact:

  • Dianna Spring, VP of Marketing at Striim
  • Phone: (650) 241-0680 ext. 354
  • Email: press@striim.com

Source: Striim, Inc.

About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

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