Traditional security architectures often struggle with the heavy processing required for deep AI inspection, leading to latency that frustrates users. Cato Neural Edge solves this by embedding NVIDIA GPUs directly into Cato’s global private backbone of 85+ Points of Presence (PoPs).
Real-Time Inspection: By running AI/ML models inline at the network edge, Cato eliminates the "round-trip" latency caused by sending traffic to external cloud environments.
Deterministic Performance: Intelligence and enforcement happen in the same location, ensuring consistent speed even for high-bandwidth global traffic.
Many organizations are unaware of how their employees use public AI tools. Cato AI Security provides a framework to protect an organization's AI ecosystem.
Governance & Guardrails: Unauthorized "Shadow AI" use is automatically detected and blocked. Real-time data loss prevention (DLP) is enforced for sensitive prompts.
Securing Homegrown AI: Private AI models and agents are protected from threats such as prompt injections and model manipulation.
Unified Policy Engine: Manage an organization's security posture, including AI, SD-WAN, and ZTNA, from a single application.
Efficiency is key in modern IT operations. The new Cato ASK AI Assistant simplifies complex network troubleshooting.
Account-Aware Insights: The assistant uses specific account data to answer questions such as "Why is this specific site slow?" or "Who updated these firewall rules?".
Incident "Storytelling": Instead of digging through logs, teams receive human-readable narratives of security events with recommended remediation steps.
The Strategic Advantage: Built-In, Not Bolted-On
The Cato SASE Cloud Platform has native convergence. AI security is built into the network. This reduces operational complexity and ensures that security scales automatically as a business grows.
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