
"One of the biggest advantages for us is that AI security isn't another console or separate enforcement layer. It's built directly into the Cato SASE Platform. We can govern AI usage, secure homegrown AI applications, and manage agent workflows using the same policy engine and data lake that already protect our network and cloud environments."
"With Neural Edge, Cato integrates Nvidia GPUs into the more than 85 Points of Presence (PoPs) of its own global private backbone. While other providers outsource AI workloads to external hyperscaler environments, Cato performs analysis and enforcement within its own PoPs. According to the company, this delivers deterministic performance without external processing layers."
"Cato AI Security combines AI governance and runtime security. It monitors employees' use of AI tools, protects in-house AI applications, and enforces guardrails for autonomous AI agents. The solution works as a standalone or alongside other Cato features such as SD-WAN, SSE, or Universal ZTNA, all from a single central policy engine."
Cato Networks introduced Neural Edge and AI Security to its SASE platform, positioning itself as the first GPU-powered SASE provider with native AI security. Neural Edge integrates Nvidia GPUs across Cato's 85+ Points of Presence, enabling real-time semantic and behavioral network traffic inspection without relying on external hyperscaler environments. This approach delivers deterministic performance through internal processing. Cato AI Security, built on the Aim Security acquisition, combines AI governance and runtime security to monitor employee AI tool usage, protect in-house AI applications, and enforce guardrails for autonomous agents. Both capabilities integrate into a single central policy engine, eliminating separate consoles or enforcement layers.
Read at Techzine Global
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