AI-Powered Security
Security with AI built in. Not bolted on.
Cato enhances security with AI models trained to detect threats, anomalies, and suspicious activity — proactive, precise, automated enforcement that reduces risk and frees your team to focus.
Threats move at machine speed. Manual security can't keep up.
Stale intel, false positives
Threat feeds go stale and bury teams in false positives, blunting the efficacy of every defense.
Machine-speed threats
Machine-generated domains appear and vanish faster than static blacklists can ever react.
Manual SOC toil
Analysts burn hours on rule sprawl, triage, and incident write-ups instead of real defense.
Proactive, precise, automated.
Reactive, signature-bound tools leave defenders a step behind. Cato applies AI across the security stack to detect threats earlier, act with precision, and automate response — turning a flood of signals into proactive protection.
Proactive
Detect threats, anomalies, and suspicious activity in real time — before they become incidents.
Precise
Purpose-trained models raise efficacy and cut the noise that wears security teams down.
Automated
Automate routine detection, policy, and triage so analysts focus on strategic priorities.
The Enterprise Buyer's Guide to AI Security Platforms
Dozens of vendors, the same claims. Learn how to assess AI-specific risk, compare platform capabilities, and make a defensible buying decision.
AI built into every layer of the platform.
Purpose-trained AI models run natively across the Cato SASE Cloud — detecting, preventing, and resolving threats with precision and speed.
AI processes hundreds of feeds and relevance-scores every IoC against a 5M+ entry global blacklist — no human involvement, no false positives.
Real-time maliciousness scoring catches DGA and cybersquatting domains before feeds can — blocking 3–6× more than reputation lists alone.
AI understands the true nature of documents — financial, medical, HR — and can be trained on your proprietary content.
Cato Copilot turns natural-language questions into concise, context-aware, step-by-step answers — across languages, inside the CMA.
Autonomous Policy AI flags outdated, drifting, or risky rules and recommends fixes — shorter audits, lower risk, less manual effort.
Storyteller AI writes human-readable incident narratives with MITRE mapping; Story Similarity predicts severity for rapid triage.
Customers love Cato
The XDR cards let us see all the data relating to an incident in one place, which is valuable. Seeing the flow of the attack through the network--the source of the attack, the actions taken, the timeframe, and more--on one page saves a lot of time. If a user has a network issue, I do not have to jump to various point product portals to determine where the application is being blocked.
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15–30 minute session with a SASE product expert
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