Artificial Intelligence and Machine Learning
AI and ML have become a key component of every modern technology. Whether used in research and development or for day-to-day operations, AI and ML have been proven valuable in helping companies and individuals scale beyond the human brain limitations. Cato Networks uses AI and ML in every part of our SASE service, tapping the power of cloud computing and advanced data science to help our customers benefit from a reliable, accurate and efficient network and security infrastructure.
To learn about AI safety policy for Cato Networks click here.
Examples of AI/ML Usage in the Cato SASE Cloud Platform
Threat lntelligence
Timely threat intelligence is key to maximizing security efficacy and minimizing false positives. Adversaries know how enterprises struggle to maintain threat intelligence data, and leverage that to evade detection. Cato uses AI/ML in a purpose-built threat intelligence software that can process hundreds of feeds without any human involvement. Every 2 hours, the AI/ML based pipeline processes every IoC (Indicator of Compromise) in every feed, examining it against other IoCs, hit counters, age and other parameters to generate a popularity score, and using that to decide if to add, keep or remove it from a global blacklist of over 5 million IoCs.
To find out more about our Threat Intelligence mechanisms, read our blog: Security Testing Shows How SASE Hones Threat Intelligence Feeds, Eliminates False Positives
Threat Prevention
Attackers are continuously evolving their techniques to overcome standard prevention tools such as SWG, IPS, DNS security and others. Their advantage comes from the modus operandi of traditional tools being well known, and based on identifying patterns of known attacks. Cato built and trained ML engines to identify and block attacks in real-time without being dependent on such pattern matching. Instead, we use advanced mathematical models trained on data from our vast data lake, to calculate the maliciousness of a domain or a URL and use that score to decide whether or not to block.
Cato Networks was the first security vendor to use ML models in real-time prevention, and not just detection.
For more on AI/ML applications in real-time threat prevention in the Cato blog:
Client & Device Classification
Knowing which devices are observed on the network is imperative from a security perspective, identifying anomalies through unknown operating systems or unsanctioned devices on the corporate network is a small subset of the possible ways to secure a network. To keep up with the constantly changing landscape of OS’s and devices we use our data lake to train advanced ML models, creating accurate and robust network identification rules able to classify clients in real-time and apply security controls on them.
Find out more in our deep-dive blog posts on how ML is applied on the Cato blog:
Application Classification
The number of web applications (SaaS) is ever growing and maintaining it at scale can be done in one of two ways: employment of large teams of analysts and wasting time propping up the myth of the more applications in the catalog the better, or training AI/ML to do the work in a data-driven approach. Cato selected the latter. We use AI & ML to identify the most important and in-use unclassified applications from the network traffic that traverses our SASE Cloud. We then have the AI/ML mine meta data to enrich what we know about each application, and to calculate a risk score our customers can use in their access and governance decisions.
Find out more about how Cato manages its App Catalog on the Cato blog:
Detection and Response
SOC and NOC groups go through a daily and labor-intensive process of detection, investigation, and remediation of issues. In the Cato SASE Cloud Platform, AI and ML are used extensively to make SOC and NOC teams better informed and faster. Beyond the initial hunting and detection of issues in which AI/ML is table stakes, additional empowerment is provided. Generative AI is used to summarize incidents in seconds. ML engines suggest incident criticality for efficient triage, and flag incidents with similar characteristics to properly understand the magnitude of the issue or the attack. These and many more help identify and resolve issues in record-breaking time, minimizing and even eliminating damage.
For more details read our technical writeups on the Cato blog:
Autonomous, Self-healing Infrastructure
Building, scaling and operating a SASE cloud service is a huge engineering endeavor, especially when serving as the enterprise’s critical infrastructure and required to deliver a 99.999% uptime SLA. To achieve this, reliance on human involvement to identify and resolve issues in real-time is not a scalable option. Cato has been continuously developing and training software engines to monitor, analyze and identify infrastructural issues based on previous patterns and identifying early symptoms, responding to them proactively. With those purpose-built tools, our cloud service can self-diagnose and self-heal in real-time, making sure the service SLA delivered as promised. Cato’s expert operations teams step in after the issue has been resolved temporarily, analyze the root cause, and apply a permanent fix.
AI/ML Blogs, Publications & Keynotes
Our team has been continuously sharing knowledge and experience with the industry, through blogs, published articles, and keynote presentations.
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.
Swissport Elevates Security, Global Operations with Cato Networks
Carlsberg Group Gains Flexibility and Visibility with Cato SASE
O-I Taps Augmented Reality and Cato SASE Cloud to Realize “Impossible-to-Count” Savings
Alewijnse Transforms Global, Real-Time WAN with Cato Secure SD-WAN
Brake Masters Puts the Brakes on Outages Across 71 Sites with Cato
Flügger Group Gains Network Flexibility and Security with Cato SASE Cloud
Juki reduces network costs by using one security policy for all group companies
Komax Drives Innovation, Cloud Connectivity, and Mobile Collaboration with Cato
Vitesco Technologies Builds New Global Enterprise Network with Cato
Haulotte Reduced Costs and Improved Application Performance by Migrating from MPLS to Cato SASE
Waseda University Enables Universal Secure Remote Learning and Digital Transformation with Cato
Topcon Achieves a Fast, Secure Global WAN with Cato
Fidal Boosts WAN Performance, Cuts Costs in Half by Switching from MPLS to Cato
CloudFactory Boosts Network Scalability, Agility, and Security with Cato
Cato SASE Cloud secures networking of Bank Avera locations and its mobile employees
Fiskars Group Boosts Business Agility and Security with Cato SASE
Fullerton Health Builds a Secure SASE Linking 550 Locations and the Cloud
AFI Properties Cures Network, Security, and Remote Access Headaches with Cato SASE
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
Gamuda Redefines IT Operations with the Cato SASE Cloud Platform
Cato Networks Named a Leader in the Gartner® Magic Quadrant™ for Single-Vendor SASE 2024
Cato Networks Named a Leader and an Outperformer in the GigaOm 2025 SASE Radar
Cato Networks recognized as a Growth and Innovation Leader in SASE
Cato Networks Recognized as Global SSE Product Leader
WAN Transformation with SD-WAN: Establishing a Mature Foundation for SASE Success
“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.”
Try Cato
The Solution that IT teams have been waiting for.
Prepare to be amazed!