Cato Networks Embeds GPUs for AI-Powered SASE, Signaling Infrastructure Shift
Event summary
- Cato Networks has deployed NVIDIA GPUs across its global private backbone, a move dubbed Cato Neural Edge.
- The company has integrated Aim Security's AI governance and protection capabilities into its SASE platform, branded Cato AI Security.
- Cato claims this combination delivers the first SASE platform purpose-built for securing enterprise AI adoption.
- Gartner forecasts that over 75% of enterprises will use AI-amplified cybersecurity products by 2028, up from less than 25% in 2025.
- Cato AI Security is generally available, and Cato Neural Edge has already been deployed.
The big picture
Cato's move reflects a broader trend of security vendors embedding AI and specialized hardware (GPUs) directly into network infrastructure to address the escalating complexity of modern threats and the performance demands of AI workloads. By integrating GPUs into its private backbone, Cato is attempting to avoid the latency and control issues associated with relying on external cloud resources for AI processing. This strategy positions Cato to capitalize on the growing enterprise need to secure AI applications and data, a market Gartner projects will see significant growth in the coming years.
What we're watching
- Performance Impact
- The actual performance gains delivered by Cato Neural Edge will be critical to adoption, as enterprises will scrutinize whether the GPU deployment meaningfully accelerates AI-driven security processes without introducing latency.
- Competitive Response
- Other SASE vendors will likely accelerate their own GPU and AI integration efforts, potentially leading to a commoditization of AI-powered security features within the SASE space.
- Integration Risk
- The success of Cato AI Security hinges on the seamless integration of Aim Security's capabilities; any friction or operational complexity could hinder broader adoption and undermine Cato's unified platform narrative.
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