The accelerating adoption of AI is placing new demands on enterprise security infrastructure. As organizations deploy copilots, AI assistants, and autonomous agents, security platforms must analyze far more contextual and conversational traffic than traditional controls were designed to handle. Cato Networks is addressing this shift with Cato Neural Edge, embedding NVIDIA GPUs across its global SASE Points of Presence.
According to Cato Networks, this enables high-frequency, inline execution of AI and machine-learning models for real-time semantic and behavioral traffic inspection. By processing analysis directly within the network fabric, the architecture supports scalable performance with consistent low latency while avoiding the overhead of external processing layers as workloads expand.
The release also introduces Cato AI Security, integrating governance and runtime protection capabilities from the recent Aim Security acquisition. According to Cato Networks the platform provides unified oversight for employee use of AI tools, internally developed AI applications, and autonomous AI agents through a shared control plane and policy engine. Organizations can deploy it as a standalone capability or as part of the broader Cato SASE Platform, enabling them to secure AI adoption while maintaining consistent visibility and policy enforcement across users, applications, and network traffic.
Based on our understanding, this appears to be the first SASE platform embedding GPU compute directly into its global infrastructure to support AI-driven inspection and security analytics at scale.
Moves like this illustrate how security platforms are beginning to evolve their underlying infrastructure to support both securing AI and using AI to strengthen security operations. We look forward to discussing these developments further with the Cato team at RSA this month.