According to Gartner, by 2028, more than 75% of enterprises will rely on AI-amplified cybersecurity products for the majority of use cases, up from less than 25% in 2025. This reality is reshaping cybersecurity, according to Cato Networks, and driving the need for enterprises to “evolve both their security controls and the infrastructure powering them.”
Cato Neural Edge embeds a GPU-powered enforcement layer directly within the company’s global PoP network, enabling Cato’s platform to execute intelligence and enforcement within the PoP itself, the company says. Cato Neural Edge can enable:
- High-frequency execution of AI/ML models inline
- Real-time semantic and behavioral inspection
- Scalable analysis across global traffic flows
- Deterministic performance without external processing layers
Cato AI Security is designed to govern employee use of AI tools, secure homegrown AI applications, and enforce guardrails for autonomous AI agents, according to the company. It can operate as a standalone solution or with additional Cato SASE Platform capabilities, including SD-WAN, SSE, and universal ZTNA. The capabilities can be managed via a unified control plane and policy engine that shares context across the platform to deliver faster detection and response, Cato says.
