Netskope Launches AI Copilot and MCP Server to Enhance Zero Trust Security Solutions for Improved SEO.
Netskope has announced new artificial intelligence capabilities for its security platform, including an AI-powered assistant aimed at optimising Zero Trust Network Access. The company is introducing several advancements to its Netskope One platform, notably the Netskope One Copilot for Private Access, which leverages AI to enhance the deployment of Universal Zero Trust Network Access (UZTNA). Additionally, a preview of the Netskope Model Context Protocol (MCP) server is being released, designed to connect large language models (LLMs) to Netskope’s policy controls. According to Netskope Threat Labs, shadow AI—unsanctioned use of AI applications by employees—now constitutes the majority of AI usage within enterprises, driven by the rise of SaaS AI applications and custom AI tools.
The new AI features are intended to enable safe user access to AI-driven applications while mitigating risks associated with the adoption and creation of AI software. The platform provides insights into sensitive data processed by LLMs and employs AI models to assess risks, facilitating context-based decisions regarding application choices and policy configurations. The Netskope One platform utilises Zero Trust principles, powered by a suite known as SkopeAI, to support secure connectivity for remote workers, data security, and threat mitigation. The primary addition, Netskope One Copilot for Private Access, addresses challenges associated with traditional ZTNA, automating the recommendation of granular policies for both newly discovered and existing applications. This enhancement extends Netskope’s UZTNA solution, offering continuous policy enforcement, threat protection, integrated data safeguards, and a broader range of access controls.
Categories: AI Capabilities, Zero Trust Network Access, Security Solutions
Tags: Artificial Intelligence, Zero Trust, Network Access, Netskope One, Copilot, Security, Shadow AI, Policy Controls, SaaS Applications, Data Security