#ZTNA #AI features #Netskope

Netskope's Latest AI Innovations

Netskope, a leader in the security and networking sector, has recently announced a suite of new features powered by artificial intelligence (AI) as part of its Netskope One platform. Among these new offerings is the "Netskope One Copilot for Private Access", which serves as an AI assistant designed to optimize the deployment of Universal Zero Trust Network Access (UZTNA). Moreover, a preview of the "Netskope Model Context Protocol (MCP) Server" has been introduced to connect large language models (LLM) directly to the Netskope One policy controls using model context protocol (MCP) technology.

According to Netskope Threat Labs, a significant portion of AI utilization in today’s enterprises is attributed to shadow AI—unauthorized AI applications employed by employees. This rapid proliferation of SaaS AI applications, AI platforms, and on-premises AI deployment necessitates robust security measures that offer flexibility and reliability, allowing organizations to leverage AI tools safely and effectively in business processes.

Understanding the Need for Robust AI Security

Netskope's differentiated AI security capabilities facilitate secure access to AI applications while also managing new risks inherent in the implementation and development of these tools. This includes a detailed understanding of sensitive data that LLMs might process and conducting context-based risk assessments that support decisions regarding application selection and policy configuration. By applying Zero Trust principles through a dedicated architecture, the Netskope One platform utilizes SkopeAI—Netskope’s proprietary suite of AI innovations and patented technologies—to achieve access optimization, data protection, and threat prevention. This ultimately supports safe, location-independent