Extended Detection and Response (XDR)

Detect and respond, from inside the platform.

Cato XDR is the industry's first SASE-based detection and response solution.

Cut through the alert noise.

AI and ML group raw signals into prioritized, risk-scored incidents.

Detect, investigate, remediate β€” in one console.

Work the entire incident lifecycle and remediate active threats natively.

Today's Challenges

Too many alerts, too little visibility.

Alerts overload teams across disconnected tools
Response slows and critical context is lost
Data scattered across multiple platforms
01 / 03

Alert overload

Security and operations sprawl across disconnected tools, making it hard to act quickly on threats, outages, and performance issues.

02 / 03

Lost context

When response slows and critical context is lost, root-cause analysis takes longer.

03 / 03

Fragmented data

Data scattered across multiple platforms makes it harder to see the full picture of incidents.

Our approach

Unified insights. Faster action.

Modern IT teams face too many alerts and too little visibility across disconnected tools. Cato XOps converges XDR and AIOps into one unified insights layer, turning fragmented telemetry into prioritized stories that give teams shared context, faster investigations, and quicker resolution.

Operational Clarity

Turn fragmented alerts into clear, prioritized stories teams can act on faster.

Shared Context

Give security and operations teams one view across users, devices, apps, and infrastructure.

Faster Resolution

Speed investigation and remediation with correlated context, guided actions, and AI-driven insights.

White paper

The Industry's First SASE-Based XDR Has Arrived

How it works

Extended Detection and Response (XDR) Capabilities

AI-powered threat stories

Turn alert overload into action

Cato XDR rolls raw security events into prioritized Threat Prevention incident 'stories', connecting the signals so teams act on what matters most.

  • Roll many block events into one incident
  • Promptly detect a compromised device
  • Take appropriate containment and remediation
AI/ML threat hunting

Smarter detection from native sensors

The threat-hunting engine continuously scans the data lake for anomalous indicators of resident threats the prevention layers didn't block.

  • Continuously scan for resident, unblocked threats
  • Group signals into a single incident
  • ML risk-scores each incident to prioritize
UEBA

Investigate suspicious user activity

Cato XDR integrates User and Entity Behavior Analytics to identify unusual behavior that may indicate malicious intent.

  • Compare activity against a precalculated baseline
  • Alert on suspicious deviations as incidents
  • Detailed insights to judge malicious vs. benign
See it in action

Watch how Cato does it

See more demos
Customer Stories

Customers love Cato

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The XDR cards let us see all the data relating to an incident in one place, which is valuable. Seeing the flow of the attack through the network--the source of the attack, the actions taken, the timeframe, and more--on one page saves a lot of time. If a user has a network issue, I do not have to jump to various point product portals to determine where the application is being blocked.

Nick HidalgoVP, Information Technology, Redner's Markets

Get a live demo

Secure every interaction across the enterprise, cloud, and AI with the only purpose-built SASE platform.

What to expect
  • 15–30 minute session with a SASE product expert
  • Discuss your use cases and how we can help
  • Live product demonstration where applicable
Get Started

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