Cato Networks launches Agentic Threat Prevention to counter AI-assisted attacks
Networking and security company Cato Networks Ltd. today introduced Cato Agentic Threat Prevention, a capability that uses autonomous agents to predict the route an attacker is likely to take through a customer’s network. Protections for that specific environment are then generated and enforced before the attack advances.
The feature runs on Cato’s cloud-native platform, which already pulls network and security telemetry from every customer. That shared context is what the agents draw on. Enforcement happens at every Cato point of presence, with no service chaining required.
Cato is pitching the launch against a shift in how attacks are run. Frontier artificial intelligence models have cut the time between finding a vulnerability and weaponizing it, and the company said attackers using them can scan millions of environments at once and produce working exploits within hours. Campaigns run in parallel across thousands of targets. No human has to be watching.
“Yesterday’s security cannot stop today’s AI-powered attacks,” said Shlomo Kramer, co-founder and chief executive of Cato Networks. “Prediction is the new prevention.” Kramer said the aim is to anticipate where an attack moves next and put protections in place before it gets there.
The agents run on telemetry Cato already collects. Also feeding the model are a customer’s own activity and outside threat intelligence. From there, the software maps risk across users, applications, traffic patterns and exposures. The prediction step covers how an agentic attacker might chain techniques together or slip past controls already in place. Cato then writes controls for that one environment, not a detection it ships to every customer.
Frank Dickson, group vice president at International Data Corp., said AI-assisted attacks are “exposing the limits of static security controls and manual response.” An entire attack, he noted in Cato’s announcement, can take less time than investigating a single alert.
The launch extends work Cato started earlier this year. Its Agentic CVE Mitigation service, detailed in June, assesses newly disclosed vulnerabilities and applies protection in as fast as 45 minutes. Agentic Threat Prevention covers the other front, predicting attack paths and building protections in advance. Cato frames the two together as closing the window between exposure and protection.
The company launched Dynamic Prevention in March, a feature that correlates behavioral signals across months to catch attacks that unfold slowly. In July, it tied the Cato SASE Platform to CrowdStrike Holdings Inc.’s Falcon so analysts can view endpoint alerts alongside network activity.
Cato did not disclose pricing.
Cato, based in Tel Aviv, last raised $359 million in June 2025 in a Series G round led by Vitruvian Partners and ION Crossover Partners. The round valued the company at more than $4.8 billion.
Image: Cato Networks
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