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.
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:
- Security Testing Shows How SASE Hones Threat Intelligence Feeds, Eliminates False Positives
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:
- Cato Networks Revolutionizes Network Security with Real-Time, Machine Learning-Powered Protection
- Cato Networks Adds Protection from the Perils of Cybersquatting
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:
- How Cato Uses Large Language Models to Improve Data Loss Prevention
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:
- How Cato Uses Large Language Models to Improve Data Loss Prevention
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:
- Introducing AI-Driven Policy Management for Better Security
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:
- Cato XDR Storyteller – Integrating Generative AI with XDR to Explain Complex Security Incidents
- Cato XDR Story Similarity – A Data Driven Incident Comparison and Severity Prediction Model
Consistent Policy Enforcement
Scalable and Resilient Protection
Autonomous Life Cycle Management
Single Pane of Glass
Cato SASE Cloud Platform Powers the Digital Business
Customers use Cato to eliminate complex legacy architectures comprised of multiple security point solutions and costly network services. Cato’s unique SASE platform consistently and autonomously delivers secure and optimized application access everywhere and to everyone.
How Redner’s Markets Transformed the Retail Experience by Transforming its Network with Cato
Chemical Manufacturer ESI Reduces the Time to Integrate Acquired Companies by 80% with Cato
Alewijnse Transforms Global, Real-Time WAN with Cato Secure SD-WAN
Brake Masters Puts the Brakes on Outages Across 71 Sites with Cato
Komax Drives Innovation, Cloud Connectivity, and Mobile Collaboration with Cato
