Protect and secure your data from cyber attacks
Data Protection
Data Security
Data Insights
The 5 Steps to Cyber Resilience
Cloud & SaaS
Enterprise
Industries
THE PROBLEM
Backup teams focused on recovery, security teams on threat prevention, and AI teams on analytics, automation, and innovation. Each team operated with its own tools, objectives, and architectures.
It's time to reimagine this fragmented model.
The reasons are practical. Cyberattacks are increasingly targeted, and data now lives everywhere: on-prem, in the cloud, and across SaaS. At the same time, enterprises are struggling to access data to improve their AI outcomes. That data is often split across disparate systems, increasing both complexity and blind spots.
Adding more tools doesn’t fix that. It makes it worse.
The organizations pulling ahead aren’t adding more layers. They’re rethinking the foundation.
Protection is the first step toward cyber resilience. It starts with comprehensive coverage across the entire data estate—spanning virtual machines, databases, file systems, and unstructured workloads.
Protection needs to cover all this data consistently and without gaps. Recovery depends on it. When protection is incomplete, fragmented, or inconsistent, you can’t count on clean, rapid recovery. When protection is comprehensive and consistent, you can—without corruption, loss, or residual risk.
Once protection is established, the next challenge becomes clear. If backup systems can be compromised, encrypted, or accessed improperly, recovery data itself becomes another attack surface. Security can’t remain an external overlay.
It must operate directly at the data layer:
When protection and security operate on separate systems, teams are forced to reconcile signals and policies across tools—often during high-pressure situations. Gaps appear not because capabilities don’t exist, but because these capabilities aren’t unified.
Threat detection supports clean recovery, and governance is applied once and enforced everywhere.
Only after data is reliably protected and secured does a new opportunity fully emerge.
To make AI impactful, organizations must:
Many teams try to solve this by copying data into separate analytics or AI platforms. The result is higher cost, greater complexity, and an expanded attack surface.
It enables organizations to access AI-ready data and use it safely, accurately, and completely. When protection and security are already integrated, the same trusted data estate can be made discoverable and usable—without breaking governance models or duplicating data and infrastructure. Data that safeguards continuity becomes AI-ready data that fuels insight.
When protection, security, and AI readiness converge on a single foundation, your data is:
Suddenly, the safest copy of your data has become the smartest copy of your data.
One data estate, managed as a single, scalable system, withstands disruption and generates insights at the same time.
The Cohesity Data Cloud is the only unified platform built to strengthen cyber resilience and extract more value from your data.
workloads protected across on-prem, cloud, and SaaS
faster backups
faster restores, and instant AI time-to-value
less storage
overall cost savings
