New framework strengthens AI infrastructure protection, mitigates agent-driven risks, and activates trusted enterprise data for secure AI adoption
Cohesity today announced the launch of its Enterprise AI Resilience strategy, a unified approach designed to help organizations confidently adopt and scale artificial intelligence by fortifying cyber resilience across the expanding AI ecosystem. As businesses accelerate AI deployment across critical workflows, Cohesity’s strategy addresses the rising risks associated with AI infrastructure, automation, and agent‑driven operations.
With enterprises rapidly moving AI from experimentation into core business processes, the pressure to manage new vulnerabilities has intensified. The complexity of AI agents, vector databases, training data, and real‑time automation introduces new operational risks that traditional security models were not built to handle.
“AI disruptions can cascade at machine speed. Resilience can no longer be reactive it must be built into the AI stack from day zero.” Karen Townsend, Chief Product Officer, Cohesity
“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 that resilience foundation, protecting AI infrastructure, governing data access, and unlocking the transformative power of trusted enterprise data.”
At the core of the new strategy is a multi-layered defense approach aimed at protecting AI systems and mitigating unintended or malicious agent activity. Cohesity safeguards key components such as agent memory, training datasets, vector stores, and model configurations through immutable snapshots and coordinated, point‑in‑time recovery.
The company also emphasizes containment of rogue automation. Through integrations with platforms like ServiceNow and Datadog, Cohesity can translate risk signals into automated, API‑driven restoration workflows, helping enterprises dramatically reduce response times to AI-induced incidents.
On the data governance front, Cohesity DSPM, powered by Cyera, plays a pivotal role in discovering sensitive data, monitoring access, and supporting compliance across AI environments.
“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 trusted context into Glean so AI can deliver more accurate answers while maintaining strong security and compliance controls.”
Highlighting the impact in India, Mayank Mishra, Senior Regional Director, Sales, India & SAARC, said, “Enterprises are increasingly moving AI into core operations. With Cohesity’s Enterprise AI Resilience strategy, we’re helping customers protect AI infrastructure, govern sensitive data, and recover rapidly from disruptions so they can scale AI confidently while maintaining operational continuity.”
Cohesity’s strategy is delivered via the Cohesity Data Cloud, enabling organizations to protect, govern, recover, and activate trusted enterprise data for secure, compliant AI adoption.