Cohesity boosts AI data resilience with new cloud tools
Cohesity has rolled out updates across its data protection and security portfolio, including new sovereign cloud partnerships, expanded threat-detection features, and a new packaging option aimed at midsize organisations.
The announcements centre on what Cohesity calls "enterprise AI resilience" - protecting data and infrastructure as organisations expand their use of AI. The updates cover data residency controls, cyber vaulting, malware scanning, recovery workflows, and AI-based data discovery within backup environments.
"AI is increasing both the value of data and the risk surrounding it," said Vasu Murthy, Chief Product Officer at Cohesity. "Resilience today requires the ability to detect threats early, recover to a clean state, and maintain control across complex environments at the speed and scale modern enterprises demand. These updates build on the protection and security foundation organisations rely on as they operationalise AI. We're also expanding how customers access, deploy, and use our platform. As AI becomes foundational to business, Cohesity delivers a unified platform that protects and secures data while accelerating innovation."
Sovereign cloud
Data residency and sovereignty requirements are increasingly shaping how organisations choose cloud architectures for backup, recovery, and security controls. Cohesity presented its latest partnerships as part of a broader sovereign cloud ecosystem that extends beyond storage.
New collaborators include AntemetA and Singtel. Cohesity also pointed to its role as a launch partner for the AWS European Sovereign Cloud and its certification as a Google Cloud Ready Regulated and Sovereignty Solutions partner. In Canada, it is working with Micrologic on sovereign cloud data protection.
The emphasis reflects demand for controls that align with jurisdictional rules and regulatory oversight. Many organisations also need operating models that keep protected copies of data within defined boundaries, even when production systems span multiple cloud services and software-as-a-service environments.
Threat detection
Cohesity also outlined upcoming security enhancements aimed at improving detection of malicious activity and strengthening recovery procedures. The additions focus on malware scanning, indicator-of-compromise checks, and workflows that verify recovery points before systems are restored.
One update is integrated threat scanning for self-managed Cohesity FortKnox environments, including scanning of vaulted data for customers with digital sovereignty requirements or those operating in isolated, dark-site environments.
Another is integrated threat scanning for dark-site Cohesity Data Cloud deployments, providing malware and indicator-of-compromise scanning in environments fully disconnected from the public internet.
For the Cohesity NetBackup Flex Appliance, Cohesity is adding self-encrypting drives and integrated malware scanning to protect data at rest and embed malware detection within the appliance.
Cohesity also described cloud application environment recovery using declarative design, which rebuilds cloud environments from infrastructure-as-code configurations as a trusted baseline. It linked the approach to faster recovery and reduced configuration drift.
"ASEAN organisations are facing a myriad of data sovereignty challenges as they seek to comply with stringent data privacy regulations across different cloud, SaaS, and hybrid environments," said Lim Hsin Yin, Vice President of Sales for the ASEAN Region at Cohesity. "The new enhancements across Cohesity's data protection and security portfolio, in parallel with the new sovereign cloud partnerships, will empower our enterprise customers in the region with the tools to meet residency mandates while hardening AI infrastructure against current and emerging threats."
Cohesity also highlighted work tied to Google's cloud services, including a managed service option for Cohesity FortKnox on Google Cloud and integrations with Google Threat Intelligence and Google Private Scanning within Cohesity Data Cloud. It said these additions extend cyber vaulting to Google Cloud environments and add sandbox inspection steps to backup and recovery workflows.
Data posture
Cohesity introduced Data Security Posture Management, powered by Cyera. It said the product provides continuous discovery, classification, and posture analysis of sensitive data across cloud, SaaS, and AI-powered environments, and supports prioritised remediation based on exposure.
The move follows growing attention on how data is accessed and reused in AI projects, particularly when organisations rely on a mix of internal datasets and third-party services. Data discovery and classification remain prerequisites for enforcing policy and reducing the risk of sensitive information being copied into tools that lack the necessary controls.
AI insights
On the AI side, Cohesity said it is continuing to develop Cohesity Gaia, which it described as a way to generate insights from data already protected within Cohesity Data Cloud. It also introduced federated semantic search via the Model Context Protocol.
Cohesity said this approach allows AI-powered enterprise applications such as Glean to securely access governed backup data. It also unveiled the Cohesity Gaia Catalog, which it said will let teams discover and access protected data from analytics platforms including Databricks and Microsoft Fabric.
Midsize packaging
Separately, Cohesity announced Cohesity Essentials, a simplified pricing and packaging option for midsize organisations.
It said the offering provides access to its cyber resilience platform with less complexity and overhead than traditional enterprise deployments, broadening access to its data protection, security, and AI-related functions for organisations with smaller IT teams.
Cohesity said the new sovereign cloud collaborations, security updates, and DSPM product will sit alongside continued development of Gaia features that connect governed backup data with enterprise search and analytics tools.