Cohesity positions resilience as the cornerstone for fast, responsible AI adoption in global and regional markets.
Cohesity has launched its Enterprise AI Resilience strategy, a unified approach designed to help organizations operationalize AI with confidence by fortifying cyber resilience across the entire AI ecosystem. As enterprises accelerate deployment of AI systems, Cohesity aims to address emerging risks tied to AI infrastructure, automation, and sensitive data access.
According to Cohesity, many organizations are rapidly embracing AI, but the speed of innovation is creating new exposure points. AI agents, vector databases, model configurations, and training data are now deeply integrated into business operations increasing the need for coordinated defense and rapid recovery when disruptions occur.
“Strengthening resilience across the AI stack is becoming essential as the Middle East accelerates AI adoption.” — Johnny Karam, MD & VP, International Emerging Regions, Cohesity
The Enterprise AI Resilience framework focuses on three core areas: protecting AI and agent infrastructure, mitigating unintended or malicious agent-driven actions, and governing sensitive data used by AI systems. Cohesity preserves immutable snapshots of AI environments, enabling synchronized recovery of agents, vector stores, SaaS data, and supporting infrastructure, reducing downtime without full system rebuilds.
“Enterprises need the confidence to manage AI-driven risk and recover quickly when disruptions occur.” — Sanjay Poonen, CEO & President, Cohesity
Through integrations with platforms like ServiceNow and Datadog, Cohesity can translate anomalous agent behaviors into automated, API-driven restoration actions, helping contain issues at machine speed. Meanwhile, Cohesity DSPM powered by Cyera provides continuous discovery and classification of sensitive data across cloud, SaaS, and AI environments to prevent exposure.
Cohesity is also bringing AI to the offensive side of innovation. With federated semantic search using the Model Context Protocol (MCP), tools like Glean can securely access governed backup data. The upcoming Cohesity Gaia Catalog will further connect protected data to analytics platforms including Databricks and Microsoft Fabric.
Cohesity says all capabilities are delivered through the Cohesity Data Cloud, providing unified protection, governance, rapid AI recovery, and secure data activation across hybrid, cloud, and SaaS environments.
