Agentic Threat Prevention uses autonomous agents that predict which attack paths hackers are likely to choose and adapts security measures for each customer environment. In this way, the company aims to prevent breaches before AI-driven attacks can succeed.
Agentic Threat Prevention runs on Cato’s cloud-native platform and combines network and security telemetry into a single view per environment. The agents thus anticipate threats and continuously adjust protection. Enforcement occurs globally across every Point of Presence, without service chaining or coverage gaps.
Predicting rather than reacting
The system models risk across users, applications, traffic patterns, assets, and exposures. It then predicts how agentic attackers will chain techniques together, exploit vulnerabilities, and bypass controls. Instead of generic detection, each customer receives a customized solution.
“Prediction is the new prevention,” says co-founder and CEO Shlomo Kramer. “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.”
Cato defends itself in two ways. On the prevention side, Agentic Threat Prevention predicts attack paths. On the protection side, Agentic CVE Mitigation assesses new vulnerabilities and rolls out protection within as little as 45 minutes. Together, they close the window between exposure and protection.