Netskope has introduced its new AI Command Center, a unified platform designed to help security teams discover AI usage across the enterprise, assess the risks that matter most, and respond with greater speed and coordination. The launch expands the company’s AI Security suite at a time when AI adoption is accelerating faster than many organisations can track or govern.
The product is aimed at one of the most pressing problems in enterprise security today: AI sprawl. As businesses deploy more AI applications, agents and embedded tools across cloud, endpoint and on-premises environments, visibility gaps are widening and creating new exposure points. Netskope says the AI Command Center brings discovery, correlated risk intelligence and agentic response into a single operating layer, allowing security teams to see not only which AI tools are being used, but also how they connect to data, identities and policy boundaries.
Visibility Across Shadow AI
A major part of the platform’s value proposition is discovery. Netskope says the AI Command Center can identify AI assets whether they are corporate or personal, managed or shadow, cloud-based or on-premises. It then maps those assets to the users, data stores and applications they touch, helping teams understand where risk is concentrated and how AI behaviour intersects with broader enterprise systems.
That capability matters because most organisations are still struggling with basic visibility. According to Netskope Threat Labs, the average enterprise saw AI application usage increase fivefold in the past year, while its AI user base tripled. Despite that growth, 94% of participating organisations reported visibility gaps, and only 6% said they had complete visibility into their AI pipeline.
Agentic Response Takes Shape
Netskope is also pairing the Command Center with an AI Risk AISecOps agent called AgentSkope, which is designed to handle triage, investigation and response in a more autonomous way. The company says this layer can reason across incidents and reduce the gap between identifying a risk and acting on it, which is increasingly important as AI-related threats move faster and become more distributed across the enterprise.
The platform also includes endpoint and server discovery features. Endpoint AI discovery extends scanning to installed applications, running processes and browser extensions on managed devices, while server AI discovery uses a lightweight eBPF agent to inspect encrypted AI traffic on virtual machines and Kubernetes nodes. Together, these additions are meant to give security teams a more complete view of AI activity inside the corporate perimeter.
Why It Matters Now
The timing of the launch reflects a broader shift in enterprise security. Organisations are increasingly saying yes to AI adoption, but many do so without knowing where AI tools are operating, what data they are touching, or whether the right policies are in place. That creates a governance problem as much as a security problem, particularly when shadow AI and unsanctioned tools enter the environment.
Netskope’s move suggests that AI security is now entering a more operational phase. Instead of treating AI risk as a separate issue, the company is folding it into the security stack through discovery, correlation and automated response. For enterprises, that is likely where the market is headed: less debate about whether AI should be used, and more focus on how to govern it safely at scale.
