Cohesity Secures Foundational Patent for GenAI RAG Platform
Cohesity, a leader in AI-powered data security, announced that the U.S. Patent and Trademark Office (USPTO) has granted the company Patent No. 12,619,501 for the foundational technology underlying Cohesity Gaia™, its generative AI platform for enterprise data.
Titled "Data Retrieval Using Embeddings for Data in Backup Systems" and issued May 5, 2026, the patent covers Cohesity's proprietary method of combining secondary data systems with a retrieval-augmented generation (RAG) semantic layer to power GenAI applications.
Cohesity is the first data protection vendor to patent this approach, which enables enterprises to apply GenAI to secondary data without creating new data silos, weakening governance controls, or increasing the exposure of sensitive information. This patent establishes Cohesity’s unique architectural approach to applying GenAI directly to secondary data, grounded in a security-first framework that keeps data protected, governed, and in place.
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Cohesity's approach was the only one that made AI viable using our existing backup data as the foundation. The fact that this approach is now patented reinforces how differentiated it is
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Gregory Statton, Vice President, AI Solutions, Cohesity says, “Indian enterprises are looking to unlock the value of their data for AI-driven innovation while maintaining strong security and governance. With Cohesity Gaia, organizations can securely harness backup and recovery data for AI use cases without increasing data sprawl or operational risk. We see strong relevance for this approach as AI adoption continues to accelerate in India.”
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Patrick Ringelberg, Domain Data Center Architect & AI, Ministry of Infrastructure and Watermanagement (Rijkswaterstaat) says, “In evaluating enterprise AI approaches, preserving our security posture and ensuring sovereign, on-premise control as a Dutch government institution were critical objectives. Cohesity's approach was the only one that made AI viable using our existing backup data as the foundation. The fact that this approach is now patented reinforces how differentiated it is.”



