AI-Powered Security

Cato enhances cybersecurity with built-in (not bolted-on) AI models specifically trained to detect threats, anomalies, and suspicious activities. Enterprises gain proactive, precise, and automated security enforcement, significantly reducing risk and empowering security teams to operate more effectively and efficiently.

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AI for Threat Intelligence

Autonomous analysis, monitoring and publication of millions of IoCs

Adversaries exploit enterprises’ struggles to maintain an optimal security posture with up to data threat intelligence and no false positives, making timely threat intelligence critical to maximizing security efficacy and minimizing false positives. Cato uses AI to continuously process hundreds of feeds, analyzing each Indicator of Compromise (IoC) against hit counters, age, and other parameters. It generates a relevance score to decide whether to add, retain, or remove each IoC from a global blacklist of over 5 million entries—all without human involvement, ensuring optimized defenses and protection against evolving threats.

Read more in our blog:

 

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AI for Threat Prevention

Real-time, inline detection of sophisticated attacks

High-frequency, machine-generated domains (DGAs) render static blacklists obsolete—they appear and disappear too fast. Cato uses AI/ML to assign maliciousness scores to domains and URLs in real-time, spotting DGA and cybersquatting threats before intelligence feeds can catch them. Cato pioneered this real-time prevention technology. Our AI/ML engines block three to six times more malicious domains than reputation lists alone—dramatically boosting the stopping power of Cato’s threat prevention layer.

Read more in our news and blog:

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AI for Data Loss Prevention

Automatic detection of document similarities based on content, not patterns

Cato’s AI-powered Data Loss Prevention (DLP) helps customers protect sensitive data by using advanced AI to understand the true nature of documents. The AI automatically recognizes sensitive content like financial, medical, or HR documents, and enforces corporate security policies on their use. It can also be trained on customer-specific documents to tailor detection to proprietary content. This intelligent, context-aware approach keeps customer data safer, helps meet compliance requirements, and adapts easily to different types of sensitive information—offering stronger, worry-free protection without complicated manual effort.

Read more in our blog:

 

AI Copilot for Analysts

Using LLMs to shorten learning curves and simplify operations

Cato Copilot, integrated into the Cato Management Application (CMA), uses advanced AI to interpret natural-language questions and provide concise, step-by-step solutions quickly. Rather than searching through extensive knowledge-base articles, IT teams receive fast, context-aware responses tailored to their specific environments. Cato Copilot safeguards sensitive data with built-in protections and leverages a semantic search database to return precise information—even across multiple languages—dramatically reducing support time and boosting productivity.

Read more in our blog:

 

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AI for Policy Management

Overcoming ruleset misconfiguration, drift, and audit complexity

Cato Autonomous Policy AI offers a new way to manage security policies at scale. The AI model identifies outdated, drifting, or risky rules, recommends fixes, and ensures alignment with best practices—all without IT teams manually sifting through hundreds of rules. Maintaining a clean ruleset shortens compliance and audit processes, reduces risk, and saves time—enabling security teams to focus on strategic priorities rather than routine maintenance tasks.

Read more in our blog:

 

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AI for Incident Response

Accelerating investigation and remediation of security and network incidents

Cato’s leverages generative AI and machine learning to resolve incidents faster and more intelligently. Cato’s Storyteller AI crafts clear, human-readable narratives from raw incident data—covering timelines, context, MITRE mappings, and recommended actions. Cato’s Storysimilarity AI matches new incidents to past ones, predicting severity and enabling rapid triage. Embedded in the Cato Management Application (CMA), these tools empowers SOC and NOC teams to prioritize, collaborate, and remediate with speed and precision, dramatically shortening incident resolution.

Read more in our blog:

 

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The Strategic Benefits of a True SASE Platform

Architected from the ground up as a true cloud-native SASE platform, all Cato’s security capabilities, today and in the future, leverage the global distribution, massive scalability, advanced resiliency, autonomous life cycle management, and consistent management model of the Cato platform.

Consistent Policy Enforcement

Cato extends all security capabilities globally to deliver consistent policy enforcement everywhere and to everyone, from the largest datacenters down to a single user device.

Scalable and Resilient Protection

Cato scales to inspect multi-gig traffic streams with full TLS decryption and across all security capabilities, and can automatically recover from service component failures to ensure continuous security protection.

Autonomous Life Cycle Management

Cato ensures the SASE cloud platform maintains optimal security posture, 99.999% service availability, and low-latency security processing for all users and locations, without any customer involvement.

Single Pane of Glass

Cato provides a single pane of glass to consistently manage all security and networking capabilities including configuration, analytics, troubleshooting, and incident detection and response. Unified management model eases new capabilities adoption by IT and the business.

“We ran a breach-and-attack simulator on Cato, Infection rates and lateral movement just dropped while detection rates soared. These were key factors in trusting Cato security.”

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