How Many AI Tools Are Really in Use in Your Organization?
Personal accounts, external models, LLM-connected apps and AI agents — gaining visibility and control with Netskope AI Command Center.
How many AI tools are currently in use within your organization?
And how many of them are truly known and managed by your security teams?
The use of AI is no longer limited to a few GenAI applications approved by the organization. Employees are using private accounts, developers are integrating external models and services, applications are communicating with LLMs, and AI Agents are gaining access to organizational systems and information.
As a result, the AI environment is rapidly becoming a complex ecosystem. It encompasses applications, models, users, agents, data, and connections for which full visibility is often lacking.
Introducing Netskope One AI Command Center
This solution provides a centralized layer of visibility, governance, and risk management for AI usage across the organization, enabling you to:
- Discover AI assets in cloud and on-premises environments.
- Identify Shadow AI and the use of private or unapproved accounts and applications.
- Map the connections between users, applications, agents, models, and the data they access.
- Assess and prioritize risks according to organizational context.
- Examine what data is being shared with AI services and where exposures exist.
- Translate visibility into targeted security actions and controls.
Beyond Simple Inventory
The core value is not just knowing which AI tools are being used. It's about understanding who is using them, how they are being used, what information they are accessing, and what level of risk this creates.
Organizations cannot manage AI risks solely with a list of applications. They need a comprehensive picture that connects all assets, identities, actions, and data, allowing them to foster innovation without losing control.
Want to discuss this in your environment?
TALK TO OUR EXPERTS →