Cohesity unveiled its Enterprise AI Resilience strategy. This unified approach enables organizations to confidently adopt and scale AI by strengthening cyber resilience across the AI ecosystem.
AI adoption is accelerating, but for many enterprises, the pace of innovation is outstripping risk tolerance. As AI systems become embedded in core operations, organizations must manage new infrastructure and automation risks without slowing business transformation.
Cohesity’s Enterprise AI Resilience strategy enables enterprises to play strong defense, protecting AI systems and mitigating agent-driven disruption, so they can confidently go on the offense and harness AI to drive growth.
“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.”
Johnny Karam, Managing Director and Vice President, International Emerging Regions, Cohesity, said: “Across the Middle East, organizations are rapidly moving from AI experimentation to deploying AI systems that support critical business operations. In markets such as the UAE, where initiatives like the UAE National Artificial Intelligence Strategy 2031 are accelerating AI adoption, resilience across underlying data and infrastructure is becoming essential. Organizations need the ability not only to monitor and govern AI environments, but also to restore them quickly to trusted states if disruptions occur. Strengthening resilience across the AI stack will be key to enabling confident, secure AI adoption.”
Defense: Protecting AI Infrastructure, Governing Data, and Mitigating Agent Risk
As AI systems move from experimentation into production, enterprises must extend cyber resilience across the full AI stack. AI agents increasingly interact directly with enterprise systems and data, expanding operational dependencies and introducing new risk surfaces.
Cohesity addresses three critical dimensions of defense:
- Protecting AI and Agent Infrastructure
- Protecting Against Rogue, Unintended, or Malicious Agent Actions
- Governing Sensitive Data for AI
Offense: Activating Trusted Enterprise Data for AI
Enterprises store vast amounts of unstructured and time-series data—often representing decades of institutional knowledge — within the Cohesity Data Cloud. Once protected and governed, this data can securely power AI initiatives.
Cohesity has announced federated semantic search via the Model Context Protocol (MCP), enabling AI-powered enterprise tools, including Glean, to securely access governed backup data without duplicating it or compromising compliance.
In addition, the upcoming Cohesity Gaia Catalog extends the Cohesity Gaia AI platform, so teams can securely access protected data directly from leading analytics platforms such as Databricks and Microsoft Fabric, without duplicating data or rebuilding ETL (extract, transform, load) pipelines.
By activating protected data directly from the Cohesity Data Cloud, organizations can improve data freshness, governance, and compliance, while empowering AI systems with trusted enterprise context.
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 to trusted states
- Activate governed enterprise data securely for AI and analytics