Cohesity unveils Enterprise AI Resilience strategy

Cohesity unveiled its Enterprise Artificial Intelligence (AI) Resilience strategy to strengthen cyber resilience across the AI ecosystem and to enable organizations to adopt and scale AI.

The company positioned the initiative around protecting AI infrastructure, governing data access, mitigating agent-driven risk, and activating governed enterprise data to support secure AI adoption.

The announcement described extending resilience across the AI stack, including AI agents and agent memory, vector databases, model configurations and policies, training and fine-tuning datasets, and enterprise data stores. Cohesity preserved immutable snapshots of AI environments and enabled synchronized, point-in-time recovery of agents, data, and supporting infrastructure including files, databases, object storage, Software-as-a-Service (SaaS) applications, vector stores, and agent memory, reducing downtime without full system rebuilds.

Deep integrations with ServiceNow and Datadog translated agent risk signals into automated, API-driven recovery workflows. The release described Cohesity Data Security Posture Management (DSPM), powered by Cyera, as discovering and classifying sensitive data, monitoring access patterns, and supporting governance controls across AI-accessible environments. Federated semantic search via the Model Context Protocol (MCP) was presented as enabling AI-powered enterprise tools, including Glean, to securely access governed backup data without duplicating it or compromising compliance.

“By strengthening defense and enabling secure data activation, Cohesity is establishing enterprise AI resilience as the foundation for responsible, high-velocity AI adoption,” said Sanjay Poonen, CEO and President, Cohesity. “AI agents are only as useful as the information they can securely access,” said Zubin Irani, VP of Partnerships at Glean. “By enabling federated access to governed data in the Cohesity Data Cloud, we're helping organizations bring that trusted context into Glean so AI can deliver more accurate answers and actions while maintaining strong security and compliance controls.”

Cohesity said the upcoming Cohesity Gaia Catalog would further extend the Cohesity Gaia AI platform so teams could securely access protected data directly from Databricks and Microsoft Fabric without duplicating data or rebuilding Extract, Transform, Load (ETL) pipelines.