AI now runs inside every business function. Marketing uses Gemini. Finance runs Copilot. Developers spin up autonomous agents. Every week, new AI tools appear. Every month, another SaaS platform ships an embedded AI feature.
Security teams know AI is everywhere. What they don’t know is exactly where, what is managed, unmanaged, or personal, what data it touches, who has access, and whether any of it is creating risk. That gap is the problem Netskope One AI Command Center is built to close.
Closing the gap that AI and automation create
We built the AI Command Center for enterprise security teams trying to govern an AI landscape that has outpaced the tools designed to secure it.
The numbers bring home the challenge. 73% of organizations have deployed AI tools. Only 7% govern them with real-time policy enforcement. 94% are making AI security decisions with an incomplete picture of their environment, and 88% cannot reliably tell whether an employee is using an authorized corporate AI account or a personal one on the same platform. When you can’t make that distinction, DLP policies, access controls, and audit trails all become unreliable at best.
The agents running outside your view compound the risk. 56% of organizations face real agentic AI exposure today, including 23% through shadow deployments that IT doesn’t know about. 32% have zero visibility into agent actions at all.
Why existing tools fall short
Most security tools see a slice of the AI environment, but none of them see across all tools, instances, and usage simultaneously, and none of them map what those assets connect to.
The result is shadow AI tools across the organization, ungoverned agents, and unapproved MCP servers operating outside the reach of security policy. Only 8% of organizations have any policies governing MCP at all. Attack paths that run through AI assets, identities, and data stores stay invisible. Traditional security was never designed for environments where AI acts autonomously, calls external services, and accesses sensitive data without a human in the loop.
What AI Command Center does
Netskope One AI Command Center gives security teams a single operational view of their entire AI ecosystem. With every AI asset discovered, mapped, and risk-scored in one place.
From finding to fix, in one place
Visibility without action is an expensive dashboard. AI Command Center keeps the loop closed: security teams act directly from the same interface where they found the risk, pushing enforcement back to control points across the Netskope One platform. The path from finding to fixing stays inside a single workflow.
That matters because 91% of organizations currently cannot stop an agent before it acts. AI Command Center was built for that gap, with the coverage, relationship mapping, and risk intelligence the modern AI attack surface demands.
A complete inventory, including everything nobody approved
AI Command Center ingests signals from across the Netskope One unified control plane to identify genAI apps and AI in SaaS applications, AI running in hyperscaler infrastructure (AWS, GCP, Azure), on-prem server workloads, and local AI running on endpoint devices. It builds a continuously updated inventory of every AI asset in the environment including apps, agents, models, MCP servers, tools, and private applications.
If AI is running in your environment, whether managed, personal instances, shadow, cloud or on-premises, AI Command Center finds it.
A map of how everything connects
Discovery is the foundation. The next step is understanding how AI is hooked into your environments.
AI Command Center maps relationships between AI assets, identities, and data stores. It tells you which agents have access to which databases; which identities are interacting with which models; which tools are calling external services that were never reviewed by security.
This is where the risk that no single tool would surface becomes visible; a developer’s agent with direct access to a customer database holding payment data; contractors whose access was revoked months ago still appear in AI activity logs; a new application with a low trust score already touching sensitive data before anyone approved it. These findings only appear when you can connect AI activity, data access, and identity in one view.
Risk ranked by what actually matters
With all this visibility you might imagine your alerts will immediately become unmanageable. Not so. Not every alert deserves the same urgency and AI Command Center continuously assesses security posture across the full AI inventory, scoring findings by severity and business impact. It surfaces misconfigured models, unauthorized data access, and hidden attack paths to cut through alert noise so your team can focus on the exposures most likely to cause real damage.
Your AI landscape is expanding whether you govern it or not. Now you have the operational foundation to govern it.
Source: 2026 AI Risk and Readiness Report, Cybersecurity Insiders. Survey of 1,253 cybersecurity professionals, conducted early 2026.
