Cohesity, a pioneer in AI data security, introduced its Enterprise AI Resilience strategy, a comprehensive framework designed to help organizations adopt AI safely and at scale. As AI becomes central to core business operations, enterprises must manage new infrastructure and automation risks without slowing down digital transformation.

The strategy enables organizations to strengthen defenses, minimize risks from AI agents, and confidently use AI to accelerate 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.”

Cyber Technology Insights: Cohesity Strengthens Enterprise AI Resilience with New Data Security and Sovereign Cloud Innovations

Strengthening AI Defenses

As enterprises shift AI from pilot projects to production environments, the need for comprehensive cyber resilience grows. AI agents interact directly with enterprise systems and data, expanding operational dependencies and introducing new risk areas. Cohesity addresses three critical areas:

1. Securing AI Infrastructure:
Cohesity protects AI agents, vector databases, model configurations, training datasets, and enterprise data stores. By maintaining immutable snapshots and enabling synchronized, point-in-time recovery, organizations can restore AI agents, data, and supporting systems including files, databases, object storage, SaaS applications, and vector stores without rebuilding entire systems.

2. Containing Malicious or Accidental Agent Activity:
AI systems operate at lightning speed, which can amplify errors or malicious activity. Cohesity integrates with platforms like ServiceNow and Datadog to convert risk signals into automated recovery workflows. This allows rapid containment and restoration, minimizing disruptions from unintended or rogue actions.

3. Governing Sensitive Data:
Cohesity DSPM, powered by Cyera, discovers and classifies sensitive information across hybrid and cloud environments, monitors access patterns, and enforces governance. Combined with recovery capabilities, organizations can detect misuse or exposure and restore AI systems to secure, trusted states.

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Enabling AI Innovation with Trusted Data

Once protected, enterprise data can safely power AI initiatives. Cohesity introduces federated semantic search through the Model Context Protocol (MCP), allowing AI tools like Glean to access governed backup data without duplication or compliance issues.

“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 that trusted context into Glean so AI can deliver more accurate answers and actions while maintaining strong security and compliance controls.”

Additionally, the upcoming Cohesity Gaia Catalog allows secure access to protected data directly from analytics platforms such as Databricks and Microsoft Fabric, avoiding unnecessary duplication and supporting efficient, compliant AI-driven insights.

A Unified Enterprise AI Platform

Delivered through the Cohesity Data Cloud, the strategy provides enterprises with:

  • Protection across on-premises, cloud, and SaaS data
  • Security for AI agents and infrastructure
  • Governance over sensitive data accessed by AI
  • Rapid recovery of AI systems and data to trusted states
  • Activation of governed enterprise data for secure AI analytics

By combining robust defense, sensitive data governance, and safe activation, Cohesity empowers enterprises to innovate confidently with AI while maintaining security, compliance, and operational continuity.

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