Cato Networks Launches New AI Endpoint Security Client

The new security tool monitors and enforces AI usage policies across desktop applications and local agents.

Updated on Oct. 28, 2026 in Artificial Intelligence

Cato Networks Launches New AI Endpoint Security Client

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Do you trust that businesses can effectively secure employee AI use without sacrificing data privacy?

Cato Networks has released Cato AI Endpoint, a software client designed to discover and secure AI activity within browser and desktop environments. The system inspects prompts and responses inline to enforce security policies across an organization's network.

Why it matters

Traditional security tools often fail to monitor AI tools integrated into local development environments and desktop software. This solution provides visibility into unapproved AI agents that browser-based extensions cannot detect.

The Cato AI Endpoint software integrates with existing SSE, VPN, and EDR tools by routing only AI-related traffic to the platform. It identifies specific activity from Model Context Protocol servers and unapproved local AI agents.

The players

Cato Networks

Cato Networks is a cybersecurity firm that provides cloud-native SASE and SSE platforms for enterprise organizations.

The details

The software links data points across users, endpoints, and policy decisions to secure interactions in real time. By keeping non-AI traffic on existing security stacks, the client maintains operational efficiency while managing AI-specific risks.

Timeline

  1. October 27, 2026: Cato Networks officially announced the launch of Cato AI Endpoint.

The Tech Race

This release follows the rise of the Model Context Protocol, which facilitates standard communication between AI models and external data. It signals a move away from simple browser-based security toward comprehensive endpoint control as organizations integrate AI deeper into their software workflows.

Organizations can now identify and block unauthorized AI agents that might pose data privacy risks without replacing their existing security stack. This allows IT teams to implement granular AI usage policies across local machines in a matter of weeks.

The takeaway

Securing local AI agents requires moving beyond browser-level monitoring to ensure that desktop applications adhere to corporate safety standards. Companies looking to adopt AI should focus on endpoint visibility to prevent unauthorized data exposure.

Further reading

For more context on how businesses are managing safety, see the Artificial Intelligence section.

Source note: This article includes information reported by Thefastmode.

Live Poll

Do you trust that businesses can effectively secure employee AI use without sacrificing data privacy?