Netskope, a leader in modern security and networking, has announced new AI-powered features on the Netskope One platform. It includes previews of Netskope One Copilot for Private Access, AI-powered assistants that optimize your Universal Zero Trust Network Access (UZTNA) deployment, and Netskope Model Context Protocol (MCP) server.
According to Netskope Threat Labs, Shadow AI (AI applications not used by employees) represent the majority of today's AI usage driven by SaaS AI apps, AI platforms, on-premises AI deployments, and rapid adoption of custom AI agents. These trends have created the need for reliable, adaptive security that ensures the safe and productive use of AI tools for business.
Netskope's differentiated AI security features not only allow secure user access to AI applications, but also manage emerging risks introduced by adopting and building AI applications, provide a deeper understanding of the sensitive data fed to LLMS, and assess the risks of using AI models to make context-based decisions about application selection and policy settings. The Netskope One platform and its dedicated architecture apply the principles of zero trust and leverage Netskope's proprietary AI innovation and patented technology Skopeai to optimize access, protect data, stop threats, and provide secure and secure connectivity.
Traditional ZTNAs often suffer from complex policy design, leaving teams with excessively widespread access rules, policy sprawls and increased risk. New AI-powered Netskope One Copilot for private access redefines the application discovery process by automatically recommending granular application policies for newly discovered applications and optimizing the configuration of existing application segments and policies.
Netskope One Copilot for Private Access is the latest addition to Netskope's industry-leading Uztna solution. It goes far beyond the simple access broker capabilities of other vendors, providing continuous context-ready policy enforcement, native data and threat protection, end-to-end performance monitoring, and flexible access options. With Uztna controls extensively, Netskope offers a realistic path to decommissioning staged and outdated virtual private networks (VPNs) and network access control (NAC) products.
Netskope's long-standing leadership at ZTNA is continually highlighted by leading market analysts. In 2025, for the fourth consecutive year, Gartner named Netskope the leader of Security Service Edge (SSE) Magic Quadrant, once again cited Netskope as the most complete visionary vendor. In the companion critical feature of SSE Reports, Netskope ranked number one in the private application access use case covering ZTNA features.
Netskope One Copilot for Private Access is generally available to customers and will participate in other currently available Netskope AI Copilots, including the Copilot for Cloud Confidence Index (CCI). More Netskope AI Copilots are under development.
Among other newer Netskope One AI features, previews of the Netskope Model Context Protocol (MCP) server are now available to Netskope customers. The Netskope MCP server enables popular LLMs such as Claude Desktop, Microsoft Copilot, Google Vertex, and Amazon Bedrock to interact directly with Netskope One platform capabilities to enhance and optimize business workflows.
As LLM is more commonly adopted in enterprise settings, teams want a safe way to leverage them in their businesses. Built on top of the open MCP protocol, the Netskope MCP server acts as a bridge that connects LLM to the Netskope Management API. The MCP server allows LLMS to gain context from the customer's Netskope environment, leading to more insightful analytics and more effectively automated workflows.
The Netskope MCP server comes with several example prompts that cover timely AI security use cases.
Client version analysis helps corporate device and desktop management teams identify non-compliant clients and plan the updates they need.
Incident analysis provides in-depth analysis of DLP incidents, providing executive summary, and assists incident investigations and DLP practitioners who recommend further investigation or improvement.
Incident status analysis that allows incident managers to identify bottlenecks and optimize incident resolution performance.
Insider risk analysis helps security administrators prioritize users who show insider risk patterns for rapid investigation.
Learn more about Netskope MCP servers on the Netskope blog.
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