Cato AI Endpoint brings AI traffic and local-agent controls alongside existing security tools

Cato Networks [announced Cato AI Endpoint on October 27](https://www.prnewswire.com/news‑releases/cato‑networks‑launches‑cato‑ai‑endpoint‑to‑secure‑ai‑use‑beyond‑the‑browser‑302919573.html), describing a client for discovering AI use and applying enterprise policy across browser tools, desktop applications and local agents. The practical change is where inspection happens: AI activity on a managed endpoint can supply context that a browser‑only control would not see. The company says the client inspects prompts and responses inline and links an interaction to its user, endpoint, data, agent activity, tool call and policy decision. Those are product capabilities described by Cato; OpenTools has not independently tested their coverage or effectiveness.

The [release](https://www.prnewswire.com/news‑releases/cato‑networks‑launches‑cato‑ai‑endpoint‑to‑secure‑ai‑use‑beyond‑the‑browser‑302919573.html) and [product page](https://www.catonetworks.com/platform/cato‑ai‑endpoint/) describe a deployment alongside existing secure service edge, VPN and endpoint detection and response tools. Only AI application traffic routes to Cato; other traffic continues through the customer’s existing tools. The announcement therefore presents an additional AI control layer rather than requiring a wholesale replacement of the security stack. That routing distinction gives a prospective customer a concrete evaluation question: which applications and interactions will the client recognize as AI traffic, and which controls continue to belong to existing tools? Cato’s launch materials do not provide a complete operating‑system and application support matrix or a public price in the material reviewed here. A claim that deployment can happen in weeks is the company’s projection, not a measured implementation time.

The product description says the client discovers local agents together with their MCP servers, tools and skills, helping teams identify risky settings such as broad command‑line access. It also describes blocking unsafe tool calls in supported local agents on the endpoint, before a network change would be needed.

The word “supported” matters. The announcement does not establish that every local agent, skill or MCP integration can be inspected or blocked. Example agent counts, user activity and blocked actions shown on the product page illustrate the interface; they are not deployment measurements or an independent security assessment.

Cato says endpoint and network AI events share a dashboard and use the same AI security engine, with policies carried across the two surfaces. For an organization evaluating the client, the useful checks are its actual device and agent support, the traffic classification rules, the handling of prompt and response data, and how policy decisions are recorded and reviewed. The [launch](https://www.prnewswire.com/news‑releases/cato‑networks‑launches‑cato‑ai‑endpoint‑to‑secure‑ai‑use‑beyond‑the‑browser‑302919573.html) establishes the product and intended integration model. It does not demonstrate that all sensitive‑data exposure or unsafe agent actions will be prevented. Those boundaries need to remain part of a customer’s own evaluation alongside the existing security controls. *Shlomo Kramer in an undated Cato Networks company press photograph, supplied through the [official press kit](https://www.catonetworks.com/news/). Archive company context, not a product demonstration. Photo source: Cato Networks.*