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Cato Networks Adds Agentic AI Threat Prevention

Cato Networks unveils Agentic Threat Prevention to predict AI-powered attack paths and automatically personalize defenses before breaches occur.

Written By
Jordan Smith
Jordan Smith
Aug 7, 2026
2 minute read
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Cato Networks, a converged network and security cloud, has launched Cato Agentic Threat Prevention, a new capability to deploy autonomous agents to predict likely attack paths.

Stopping frontier AI adversaries before they advance

Introduced at Black Hat USA 2026, the capability also automatically personalizes protections for each customer environment to prevent breaches before AI-assisted attacks advance.

The capability is built on Cato’s cloud-native platform, combines network and security telemetry into a unified view of each environment, and enables AI agents to anticipate threats and continuously adapt protections.

The protections are enforced through every Cato Point of Presence, globally, without service chaining or enforcement gaps.

“Yesterday’s security cannot stop today’s AI-powered attacks,” said Shlomo Kramer, co-founder and CEO of Cato Networks. “Prediction is the new prevention. The only way to stay ahead of AI-powered attacks is to anticipate where they’ll go next and deploy protections before damage is done. It’s high time we level the playing field, and that’s precisely what we’re doing with Cato Agentic Threat Prevention.”

Standing up to multi-stage threats

The Cato Agentic Threat Prevention capability turns single data lake shared context into customer-specific protection.

Cato platform telemetry from security and networking, customer-specific activity, and threat intelligence are combined to model risk across users, applications, traffic patterns, assets, and exposures, enabling the capability to predict how agentic attackers might chain techniques, exploit gaps, and evade controls.

With this prediction capability, it then creates protections tailored to each customer’s environment rather than relying on one-size-fits-all detections.

Cato Networks targets frontier AI security across protection and prevention

Cato Networks declares that frontier AI has caused the need for agentic defense on two fronts: protection and prevention.

READ MORE: IT partners like 11:11 Systems are relying on Cato Networks’ SASE solutions to secure customers.

Cato Agentic Threat Prevention operates on the prevention side of that coin, predicting likely attack paths and creating customized protections before attackers advance.

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On the protection side, Cato’s Agentic CVE Mitigation autonomously assesses and applies protections for newly disclosed vulnerabilities. 

“AI-assisted attacks are exposing the limits of static security controls and manual response. An entire attack can require less time than is required to investigate an alert,” said Frank Dickson, group vice president at IDC. 

“As attackers adapt faster and tailor campaigns to each environment, enterprises will need prevention approaches that use shared context, automation, and cloud-scale enforcement to reduce exposure before compromise occurs.”

Earlier this year, Cato Networks launched its Technology Partner Program. Read more about the program, designed to create a structured path for vendors to engage with Cato and develop third-party integrations.

Jordan Smith

Jordan Smith is an enterprise technology and cybersecurity journalist with nearly a decade of experience covering B2B IT, federal technology, artificial intelligence, cybersecurity, cloud computing, and emerging digital trends. His reporting helps business and technology leaders understand how new technologies, security challenges, and infrastructure decisions affect modern organizations. Jordan has reported on enterprise and public-sector technology for TechnologyAdvice, HCLTech, MeriTalk, and Channel Insider. His background spans cybersecurity, cloud infrastructure, AI adoption, digital transformation, and federal IT initiatives, giving him a broad perspective on the tools, policies, and innovations shaping today’s technology landscape. Before joining TechnologyAdvice, Jordan served as a Senior Technology Reporter at MeriTalk, where he covered the federal IT space, and later worked as a US Regional Reporter and Copy Editor/Writer for HCLTech. His experience across reporting, copyediting, podcasting, and event moderation allows him to translate complex technical topics into clear, timely, and useful insights for business audiences. Jordan holds a Master of Arts in Journalism from the University of Nebraska–Lincoln and a Bachelor of Science in Criminal Justice and Psychology from Edgewood University. Through his work, he helps readers stay informed about cybersecurity developments, enterprise technology trends, and the business impact of emerging IT solutions.

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