Cohesity Launches Enterprise AI Resilience Strategy to Secure the AI Revolution

SANTA CLARA, Calif. – March 10, 2026 – Cohesity, a leader in AI data security, today unveiled its Enterprise AI Resilience strategy, a unified approach designed to enable organizations to confidently adopt and scale artificial intelligence by strengthening cyber resilience across the entire AI ecosystem.

The Growing Need for AI Resilience

As AI adoption accelerates, many enterprises find that the pace of innovation is outpacing their risk tolerance. With AI systems becoming increasingly integrated into core operations, organizations must effectively manage new infrastructure and automation risks without hindering business transformation.

Cohesity’s Three-Pronged Approach

Cohesity’s Enterprise AI Resilience strategy focuses on enabling enterprises to both defend against threats and leverage AI for growth. The strategy centers around three key dimensions:

Defense: Protecting the AI Ecosystem

Protecting AI systems requires extending cyber resilience across the full AI stack. AI agents are increasingly interacting directly with enterprise systems and data, expanding operational dependencies and introducing new vulnerabilities. Cohesity addresses this with:

• Protecting AI and Agent Infrastructure: Safeguarding the infrastructure that builds and runs AI systems, including AI agents, agent memory, vector databases, model configurations, training datasets, and enterprise data stores. Cohesity preserves immutable snapshots of AI environments and enables synchronized, point-in-time recovery of agents, data, and supporting infrastructure.
• Protecting Against Rogue Agent Actions: Containing and rapidly recovering from unintended or malicious agent-driven activity. Cohesity integrates with platforms like ServiceNow and Datadog to translate agent risk signals into automated recovery workflows. Anomalous behavior can trigger API-driven, point-in-time restoration.
• Governing Sensitive Data for AI: Ensuring continuous visibility and governance as AI systems access sensitive data across cloud, SaaS, and hybrid environments. Cohesity’s Data Security Posture Management (DSPM), powered by Cyera, discovers and classifies sensitive data, monitors access patterns, and supports governance controls.

Offense: Activating Trusted Data for AI

Strong defense enables confident innovation. Organizations store vast amounts of data within the Cohesity Data Cloud. Once protected and governed, this data can securely power AI initiatives.

• Federated Semantic Search: Cohesity supports federated semantic search via the Model Context Protocol (MCP), allowing AI-powered tools like Glean to securely access governed backup data without duplication.
• Secure Data Access for Analytics: The upcoming Cohesity Gaia Catalog will extend the Cohesity Gaia AI platform, enabling secure access to protected data from analytics platforms such as Databricks and Microsoft Fabric.

A Unified Platform for Enterprise AI Resilience

All capabilities are delivered through the Cohesity Data Cloud, enabling organizations to:

• Protect data across on-premises, cloud, and SaaS environments
• Safeguard AI and agent infrastructure
• Govern sensitive data exposure across AI environments
• Rapidly recover AI environments and data
• Activate governed enterprise data securely for AI and analytics

“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. “Enterprises need the confidence to manage AI-driven risk and recover quickly when disruptions occur. Cohesity provides the resilience foundation that protects AI infrastructure, governs data access, mitigates agent-driven risk, and unlocks the transformative power of trusted enterprise data.”

“AI agents are only as useful as the information they can securely access,” said Zubin Irani, VP of Partnerships at Glean. “Enterprises have decades of critical knowledge stored across systems, but much of it remains locked away. 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 even as maintaining strong security and compliance controls.”