Cohesity has unveiled its Enterprise AI Resilience strategy, which is a unified approach to help enterprises securely adopt and scale artificial intelligence, while improving their cyber resilience across the AI ecosystem. With AI systems becoming deeply integrated into the core operations of enterprises, there are rising security issues due to new infrastructure, automation, and AI agents’ direct interactions with the enterprise data and systems. Cohesity’s strategy is to secure AI infrastructure, control data access, and minimize risks for AI agents’ operations, thus ensuring business continuity for enterprises while speeding up AI innovation. The approach also supports the preservation of immutable snapshots of AI environments and provides synchronized, point-in-time recovery of agents, vector databases, training datasets, model configurations, and enterprise data stores.
Also Read: Teradata Unveils Enterprise Vector Store to Power Autonomous AI Agents
This coordinated recovery capability helps reduce downtime and avoids the need for full system rebuilds in the event of disruptions. “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.” The strategy aims to give enterprises greater confidence in managing AI-driven risk while unlocking the value of trusted enterprise data.