Cato Networks has introduced new innovations that bring AI capabilities directly into its SASE platform. These updates aim to help enterprises better protect and govern their AI-driven operations at global scale. By embedding advanced GPU technology and integrating AI security tools, Cato is redefining how security keeps pace with AI advancements.

Cato Neural Edge Brings GPU Power to Global Network

The core of this new offering is Cato Neural Edge, which deploys NVIDIA GPUs across Cato’s extensive network of over 85 points of presence worldwide. Instead of relying on external cloud services for AI analysis, Cato executes AI inspections within its own infrastructure. This setup allows for faster, more predictable performance, and better control over security policies.

With Cato Neural Edge, enterprises gain real-time AI inspection capabilities. This includes analyzing traffic for behavioral anomalies, threats, and policy compliance, all happening inline. The GPU-enabled layer makes it possible to run complex AI models directly on the network, reducing latency and increasing security responsiveness.

Cato AI Security Fuses AI Governance and Defense

Alongside Neural Edge, Cato is launching Cato AI Security, which integrates AI governance and protection features from its recent acquisition of Aim Security. This new tool helps organizations monitor and govern AI use, ensuring data privacy, preventing leaks, and maintaining compliance across AI applications.

By combining AI security with the existing Cato platform, enterprises can now oversee AI activities and defend against threats that target AI systems. This includes protecting sensitive data, preventing misuse of AI prompts, and stopping AI-driven attacks in real time.

These innovations mark a significant step toward a SASE platform that is purpose-built for the AI era. They enable organizations to adopt AI more confidently, knowing that their networks are secure and that AI governance is integrated directly into their security fabric.

Why This Matters for Modern Security

Traditional security tools focused on inspecting files, user behavior, or application access. They weren’t designed to handle the dynamic and conversational nature of AI interactions, like chats, prompts, or copilots. Without proper oversight, AI can lead to data leaks, intellectual property loss, or compliance issues.

At the same time, AI is transforming cybersecurity itself. Modern defenses increasingly depend on AI to detect threats, analyze vast datasets, and respond instantly. Experts predict that by 2028, over 75% of enterprises will use AI-powered security tools for most cyber defense tasks, up from less than 25% in 2025.

However, supporting AI at scale demands a lot of computing power. Running AI models externally can cause delays and create gaps between detection and enforcement. To address this, companies need infrastructure that can handle deep analysis and large models within their own networks.

Cato’s approach with Neural Edge solves this by embedding GPU power directly into its network, enabling on-site AI processing. This not only improves performance but also maintains better control over security policies and response times.

Overall, these developments show a move toward more integrated and intelligent security platforms. As AI continues to grow in importance, solutions like Cato Neural Edge and Cato AI Security will be key for organizations aiming to stay ahead of evolving threats while harnessing AI’s full potential.

Inspired by

• https://ai-techpark.com/cato-networks-launches-gpu-powered-sase-with-native-ai-security/