Don’t React to AI Attacks. Get Ahead of Them.

Predict the attack. Personalize the protection. Prevent the breach.

Frontier AI has given attackers the advantage, speeding up vulnerability discovery, adaptive attack chains, execution, and attack volume beyond what human triage and appliance-based security architectures can handle. Traditional prevention was never designed for this kind of adversary.

Introducing Cato Agentic Threat Prevention. Powered by specialized defensive agents inside the Cato SASE Platform, it maps the enterprise environment, predicts attack paths, creates customer-specific protections, and adapts enforcement as attack behaviors change.

This redefines the prevention model, giving enterprises the ability to stop AI attacks before they become breaches.

What’s covered in the session:

• The AI attack edge: How Frontier AI compresses the time between exposure and exploitation
• The prevention gap: Why manual workflows, generic controls, and appliance-based architectures create a widening exposure window
• Inside Cato Agentic Threat Prevention: How a new generation of defensive agents reason through threats, decide how to stop them, and act before attacks can advance
• The architecture behind agentic prevention: Why shared context, unified inspection, and global enforcement turn intelligence into autonomous prevention
• From theory to practice: Watch a live demo, and hear a customer perspective on what changes when attacks become autonomous