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NEW RESOURCES Arizona State University: First complete map of world's seagrass offers warnings and hope for conservation. "This hero of a plant protects coastlines, stores vast amounts of carbon, and supports ecosystems […]
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Cato Networks' new deep learning algorithms are designed to identify malware command and control domains and block them more quickly than traditional systems based on domain reputation, thanks to extensive training on the company's own data sets.
Cato, a SASE provider based in Tel Aviv, announced the new algorithmic security system today. The system is predicated on the idea that domain reputation tracking is insufficient to quickly identify the command servers used to remotely control malware. That's because most modern malware uses a domain generation algorithm (DGA) to rapidly generate pseudorandom domain names — which the deployed malware also has a copy of.
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