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Cato Networks has introduced real-time, deep learning algorithms for threat prevention as part of their IPS. The algorithms leverage Cato’s cloud-native platform and data lake to provide highly accurate identification of malicious domains, which are often used in phishing and ransomware attacks. Testing showed that the deep learning algorithms identified nearly six times more malicious domains than reputation feeds alone. The algorithms prevent access to DGA-registered domains, block cybersquatting, and stop brand impersonation by examining parts of the webpage. These advancements are enabled by the cloud-native architecture of Cato’s technology.