Cato Networks, a pioneer in the SASE category, has announced a significant evolution of the Cato SASE Platform designed to secure the modern enterprise’s transition into the AI era. The company is introducing two primary innovations: Cato Neural Edge and Cato AI Security.
By integrating NVIDIA GPUs across its global private backbone, Cato is the first to deliver a SASE platform capable of high-performance, real-time AI traffic inspection and threat detection at the edge. Additionally, the launch of Cato AI Security—stemming from the strategic acquisition of Aim Security—converges advanced governance and protection directly into the existing SASE framework.
Addressing the New Security Frontier
This rapid integration of AI technology has resulted in a paradigm shift in the threat landscape that was never contemplated by the existing security infrastructure. Traditional security measures are geared towards addressing file-based threats and basic application access but are found wanting in dealing with the sophisticated nature of AI-based prompts, LLM chats, and autonomous agents.
Additionally, as the role of cybersecurity continues to rely more and more on AI to analyze large volumes of data and detect abnormalities, the underlying infrastructure must also change to accommodate such high-computational requirements.
“With Cato Neural Edge and Cato AI Security, we are empowering enterprises to strengthen AI-driven defense and govern enterprise AI without sacrificing performance or adding operational complexity,” said Matan Getz, vice president of AI security at Cato Networks.
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Cato Neural Edge: Infrastructure Reimagined for AI
Cato Neural Edge represents a foundational shift in how SASE platforms handle heavy computational workloads. By embedding NVIDIA GPUs directly within its 85+ global Points of Presence (PoPs), Cato eliminates the need to offload traffic to external hyperscale environments for AI inspection. This architectural integrity ensures that intelligence and enforcement happen in the same location, providing deterministic performance.
Key capabilities of Cato Neural Edge include:
Inline AI/ML Execution: Real-time processing of complex models directly within the traffic flow.
Semantic & Behavioral Inspection: Deep analysis of conversational data to prevent intellectual property loss and data leakage.
Global Scalability: Consistent AI-driven protection across all global traffic without latency penalties.
Cato AI Security: Unified Governance and Protection
The second pillar of this announcement, Cato AI Security, provides a unified solution for governing employee AI usage, protecting homegrown AI applications, and establishing guardrails for autonomous AI agents. Managed through a single control plane, the solution shares context across the entire SASE platform to deliver more precise detection and faster response times.
This capability is available as a standalone solution or as a native component of the broader Cato SASE Platform, offering a modular path for enterprises to secure their AI transformation alongside existing SD-WAN, SSE, or Universal ZTNA initiatives.
“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,” said Marc Crudgington, vice president of cybersecurity and IT infrastructure at global logistics company Crane Worldwide Logistics. “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. That unified architecture reduces complexity and ensures consistent enforcement everywhere AI operates.”
