Protect and secure your data from cyber attacks
Data Protection
Data Security
Data Insights
The 5 Steps to Cyber Resilience
Cloud & SaaS
Enterprise
Industries
Cohesity DataProtect is a high-performance, secure and scalable data protection solution. Designed to safeguard your data against sophisticated cyber threats, it offers the most comprehensive policy-based protection for your cloud-native, SaaS, and traditional data sources.
DataProtect converges multiple-point products into a single software that can be deployed on- premises, including throuh DataProtect Virtual Edition, or consumed via Cohesity Cloud Services.
Designed on zero-trust principles, Cohesity DataProtect secures your enterprise data across a broad set of sources— virtual and physical servers, traditional and containerized applications, databases, NAS, and SaaS workloads.
A combination of immutability, WORM, data encryption framework, multifactor authentication, and granular role-based access control helps to stop unauthorized applications and bad actors from modifying or deleting your data.
The solution features near-zero recovery point objectives (RPOs) and near-instant recovery time objectives (RTOs) to meet business service-level agreements (SLAs). With Cohesity Helios, quickly search and recover data on any Cohesity cluster, located anywhere.
DataProtect uniquely reduces downtime by instantly mass restoring any number of virtual machines (VMs), large volume of unstructured data, and any size Oracle database, to any point in time, and reduces data protection costs by 70% or more.
Cohesity DataProtect consolidates protection for on-premises, cloud, and SaaS workloads onto a single platform while eliminating redundant licensing, reducing storage consumption, and bringing intelligent, policy-based automation.
The savings compound across the entire data protection lifecycle. Unified management through Cohesity Helios gives teams centralized visibility and control, so they spend less time firefighting and more time driving outcomes. Self-managed upgrades, automated tiering, and accurate job-level consumption reporting reduce both operational overhead and budget surprises. Teams can much more effectively track spend, demonstrate value, and run leaner, more resilient operations.
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