Protect and secure your data from cyber attacks
Data Protection
Data Security
Data Insights
The 5 Steps to Cyber Resilience
Cloud & SaaS
Enterprise
Industries
Organizations are rapidly turning to AI technologies to help unlock the value of their data to fuel growth and stay competitive, improve decision-making speed and accuracy, and streamline compliance and risk management with AI-driven insights. Learn how AI-driven data insights can help your organization make smarter business decisions.
In the digital era, data is crucial for businesses and a prime target for cybercriminals. Despite a slight decrease in ransomware incidents, the threat remains significant. Learn about the intelligent data security and management tools that are needed in the modern enterprise so your organization is ready to mitigate risk.
The Cohesity Data Cloud delivers remarkable business outcomes across 5Ss: Speed, Security, Scale, Simplicity, and Smarts
This video demonstrate enabling CloudArchive at a policy-level.
"This video demonstrates recovering archive data to an alternate cluster using Cloud retrieve the original cluster.
"This video shows how to protect and recover Oracle databases
This video demonstrates enabling CloudArchive at a protection run level.
Eurecat, the world’s leading supplier of catalyst services for oil refineries and petrochemical plants, chose Cohesity to protect both on-prem and cloud workloads across all locations. Cohesity provides a SaaS solution with ransomware protection, managed from a single interface.
CCPS chose Cohesity for a single and secure data management solution, for simplicity and cost savings. The district also recently implemented Cohesity FortKnox, a SaaS data isolation and recovery solution hosted in AWS that provides an immutable copy of data in a Cohesity-managed cloud vault.
Nationwide employees and agents rely on digital services to write new policies, process claims, recommend investments, and more. By switching to Cohesity, Nationwide strengthened business continuity, lowered costs, and enabled a small team to manage more data with less effort.
