Cato Neural Edge embeds NVIDIA GPUs across Cato\u2019s global private backbone, enabling real-time AI inspection; Cato AI Security delivers unified governance and protection for enterprise AI adoption<\/p>\n
Cato Networks, the SASE leader, today unveiled two major innovations for the\u00a0Cato SASE Platform\u00a0to secure enterprise AI adoption at scale. Cato is introducing Cato Neural Edge, deploying NVIDIA GPUs across Cato\u2019s global private backbone to accelerate AI-driven analysis for real-time traffic inspection, threat detection, and policy enforcement. In addition, Cato is launching\u00a0Cato AI Security, converging advanced AI governance and protection capabilities from its\u00a0recent acquisition of Aim Security\u00a0into the Cato SASE Platform. With these innovations, Cato is delivering the first SASE platform purpose-built to secure the AI era.<\/p>\n
\u201cAI is changing both sides of the equation: the threats we face and the defenses we need,\u201d said Matan Getz, vice president of AI security at Cato Networks. \u201cWith 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.\u201d<\/p>\n
AI Transformation Introduces New Security Challenges<\/p>\n
Traditional security controls were built to inspect files, user behavior, and application access, not the conversational and contextual interactions of AI prompts, chats, copilots, and agents. Without the appropriate guardrails, enterprises risk data leakage, intellectual property loss, compliance violations, and more.<\/p>\n
At the same time, AI is redefining cybersecurity itself. Modern security increasingly relies on AI to identify anomalies, correlate signals across massive datasets, and stop attacks in real time. According to Gartner\u00a0\u00ae, \u201cBy 2028, over 75% of enterprises will be using AI-amplified cybersecurity products for most cybersecurity use cases, up from less than 25% in 2025.\u201d1<\/p>\n
However, delivering security for AI and AI for security at scale requires significant compute power capable of deep semantic analysis and large-scale model execution. Routing AI workloads to external GPU clouds introduces inconsistent responses and separates intelligence and enforcement, which reduces predictability and control.<\/p>\n
To secure AI transformation, enterprises must evolve both their security controls and the infrastructure powering them.\u00a0<\/p>\n
Cato Neural Edge: NVIDIA GPU-Powered SASE at Global Scale<\/p>\n
Cato is addressing the AI infrastructure challenge with Cato Neural Edge, a GPU-powered enforcement layer embedded within the 85+ PoPs of Cato\u2019s global private backbone. Unlike architectures that offload AI inspection to separate hyperscaler environments, Cato executes intelligence and enforcement in the Cato PoP, providing predictable performance and architectural integrity.<\/p>\n
Cato Neural Edge enables:<\/p>\n
High-frequency execution of AI\/ML models inline<\/p>\n
Real-time semantic and behavioral inspection<\/p>\n
Scalable analysis across global traffic flows<\/p>\n
Deterministic performance without external processing layers<\/p>\n
Cato Neural Edge provides the infrastructure foundation for smarter, faster, AI-powered network security\u2014delivered inline, everywhere.<\/p>\n
Cato AI Security: Unifying AI Governance and Protection<\/p>\n
Cato is also adding its newest platform capability, Cato AI Security, unifying AI governance and runtime protection across major AI use cases\u2014governing employee use of AI tools, securing homegrown AI applications, and enforcing guardrails for autonomous AI agents.<\/p>\n
Cato AI Security operates as a standalone solution or alongside additional Cato SASE Platform capabilities, enabling enterprises to immediately secure AI transformation while providing a seamless path forward to broader network and security initiatives, such as SD-WAN, SSE, or Universal ZTNA (UZTNA). All capabilities are managed through a unified control plane and policy engine, sharing context to deliver faster, more precise detection and response.<\/p>\n
\u201cOne of the biggest advantages for us is that AI security isn\u2019t another console or separate enforcement layer. It\u2019s built directly into the Cato SASE Platform,\u201d said Marc Crudgington, vice president of cybersecurity and IT infrastructure at Crane Worldwide Logistics, a global logistics company. \u201cWe 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.\u201d<\/p>\n
Availability<\/p>\n
Cato AI Security is generally available to customers worldwide. Cato Neural Edge has been deployed across the Cato SASE Platform.<\/p>\n
Gartner Disclaimer<\/p>\n
1\u00a0Gartner, Forecast Analysis: Information Security, Worldwide, 2026, Shailendra Upadhyay, Christian Canales, Rahul Yadav, Matt Milone, Akshita Joshi, Sean ONeill, and Charanpal Bhogal, 5 February 2026<\/p>\n
GARTNER is a trademark of Gartner, Inc. and its affiliates.<\/p>\n
The post Cato Networks Launches GPU-Powered SASE with Native AI Security first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Cato Neural Edge embeds NVIDIA GPUs across Cato\u2019s global private backbone, enabling real-time AI inspection; Cato AI Security delivers unified governance and protection for enterprise AI adoption Cato Networks, the SASE leader, today unveiled two major innovations for the\u00a0Cato SASE Platform\u00a0to secure enterprise AI adoption at scale. Cato is introducing…<\/p>\n
The post Cato Networks Launches GPU-Powered SASE with Native AI Security<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1983","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n