Agentic Threat Prevention

Predict the attack.
Prevent the breach.

Protect against AI-powered attacks with customized predictions, agentic adaptability, and cloud-native scale.

Today's Challenges

AI attacks now adapt faster than defenses.

The visibility gap
Attacks are adaptive
Attack volume is rising

01 / 03

The visibility gap

Agentic attackers identify, chain, and exploit weaknesses to execute sophisticated multi-stage attacks.

02 / 03

Attacks are adaptive

Agentic adversaries launch an initial attack, observe the outcome, then pivot techniques to retry in real time.

03 / 03

Attack volume is rising

AI dramatically increases attack volume overwhelming appliances with performance limitations.

Our approach

Stay ahead of AI-powered attacks

Cato Agentic Threat Prevention brings specialized defensive agents into the Single Pass Cloud Engine (SPACE) to anticipate enterprise-specific attack paths, adapt protections autonomously, and scale resources as attack traffic surges. Instead of waiting for manual analysis, static signatures, or appliance updates, Cato adapts prevention to each enterprise’s environment as attacker indicators, behavior, and adaptations change.

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Stop AI-Powered Attacks with Agentic Threat Prevention

Predict based on context

Apply shared context for a holistic view of network assets and security events that drive accurate predictions of attacker’s likely next steps.

Adapt policies autonomously

Adjust policy at machine speed to block predicted actions and disrupt adaptive, multi-stage attacks.

Scale defenses automatically

Expand cloud-based resources on demand as AI-powered attack traffic surges, avoiding appliance limits and protection-depth tradeoffs.

Webinar

Don’t react to AI attacks.
Get ahead of them.

How it works

Agentic Threat Prevention Capabilities

Enterprise-specific threat modeling

Model the attack surface

Customize protection to each enterprise’s real environment, not generic attack patterns.

  • Model the attack surface through shared context
  • Combines platform telemetry and threat intelligence
  • Moves beyond one-size-fits-all detections
Modeling the customer attack surface in the Cato Management Application

Agentic attack-chain reasoning

Anticipate attack paths

Anticipate how AI-powered attackers may combine techniques as attacks unfold.

  • Identify how separate signals can chain into a successful attack path
  • Model alternate routes, protocols, pivots, and evasion techniques
  • Focus on attacker objectives and behaviors, not just known indicators
AI reasoning anticipating attack paths across hosts

See it in action

Watch how Cato does it

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Customer Stories

Customers love Cato

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Our SOC alerted us to a malware site accessed by one of our users, but when we checked Cato logs, Cato had already blocked the connection before any infection occurred. Cato’s threat prevention worked faster than our external SOC.

Director, IT and Security

Accounting and advisory services firm

Get a live demo

Secure every interaction across the enterprise, cloud, and AI with the only purpose-built SASE platform.

What to expect

  • 15–30 minute session with a SASE product expert
  • Discuss your use cases and how we can help
  • Live product demonstration where applicable

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