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Home AI and Machine Learning

Cohesity unveils Enterprise AI Resilience Strategy to power and protect AI initiatives

by FutureCIO Editors
March 18, 2026
office

Cohesity launches its Enterprise AI Resilience strategy, a unified approach that enables organisations to confidently adopt and scale AI by strengthening cyber resilience across the AI ecosystem. The strategy aims to enable enterprises to play a strong defence, protecting AI systems and mitigating agent-driven disruption.

Sanjay Poonen
Sanjay Poonen

"By strengthening defence 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.

Protecting AI infrastructure, governing data, and mitigating agent risk

Pooned added that 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."

  • Protecting AI and agent infrastructure: Cohesity claims to preserve immutable snapshots of AI environments and enables synchronised, point-in-time recovery of agents, data, and supporting infrastructure, including files, databases, object storage, SaaS applications, vector stores, and agent memory, reducing downtime without full system rebuilds.
  • Protecting against rogue, unintended, or malicious agent actions. Cohesity aims to translate agent risk signals into automated, API-driven recovery workflows through deep integrations with leading control and observability platforms, including ServiceNow and Datadog.
  • Governing sensitive data for AI: Cohesity Data Security Posture Management (DSPM), powered by Cyera, claims to discover and classify sensitive data, monitor access patterns, and support governance controls across AI-accessible environments.

Cohesity has also 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.

Moreover, the upcoming Cohesity Gaia Catalogue extends the Cohesity Gaia AI platform, helping teams 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.

All capabilities are delivered through the Cohesity Data Cloud.

Related:  Ransomware protection is, top priority for public sector IT infrastructure investment
Tags: AI infrastructureArtificial IntelligenceCohesitydigital transformation

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