Cato Networks has unveiled what it claims is the world’s first auto-adaptive threat prevention engine for SASE platforms, enabling enterprises to stop advanced attacks that quietly unfold over long periods by abusing legitimate tools and targets. The new Cato Dynamic Prevention continuously correlates behavior across users, sites and systems, and automatically enforces protections once malicious patterns emerge, eliminating the need for manual intervention and reducing operational overhead. “From a CISO perspective, the biggest risk today is that advanced attacks don’t arrive as a single event. They develop quietly over time, spread across users, sites, and systems, and exploit the gaps between disconnected tools,” said Giles Ashton-Roberts, chief information security officer at Swissport International AG,
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“Enterprises are already struggling to stop advanced threats that unfold quietly over time, and with the explosion of AI and autonomous agents, the threat landscape is accelerating exponentially. Threat actors abuse trusted tools and valid credentials, knowing most defenses still analyze isolated events and rely on humans to connect the dots for more complex attack chains,” says Lior Cohen, vice president of product management, security and management at Cato Networks. “Cato Dynamic Prevention changes the game by continuously understanding behavior in context, predicting the threat actor’s next move, and enforcing protection automatically that would only impact true positive threats. As a result, this stops potential threats before a breach ever takes shape.”