AI Asset Discovery
AI asset discovery is the process of identifying every AI system, model, agent, tool, and integration in use across an enterprise, including sanctioned deployments and unsanctioned shadow AI.
Why Discovery Is the Starting Point
Every enterprise AI governance program begins with the same problem: nobody knows what AI is actually running. Employees adopt SaaS tools with embedded AI features. Engineering teams integrate LLM APIs into products. Analysts build agents connected to internal data. Vendors ship AI capabilities as free updates to existing software. Without discovery, none of this shows up in a governance program until it causes an incident.
See what is AI asset discovery and why it matters for AI governance for a fuller treatment of why discovery precedes every other governance capability.
What Discovery Looks Like in Practice
Effective AI asset discovery pulls from multiple telemetry sources across the enterprise environment.
- Browser and endpoint telemetry: Captures employee use of external AI tools, including tools not procured or approved by IT.
- Network and API traffic: Identifies applications making calls to LLM providers, MCP servers, and AI-enabled SaaS services.
- Identity and SSO data: Surfaces AI applications employees have signed up for using corporate credentials.
Cross-referencing these sources produces the AI asset inventory that governance work depends on. See how to build an AI asset inventory and what tools help build and maintain an AI asset inventory.
Discovery and Shadow AI
Most enterprises are surprised by how much AI they have in use once discovery is running. Shadow AI, unsanctioned, undocumented, and often connected to sensitive data, is typically the majority of AI in the environment, not the exception. Discovery is how it becomes visible and governable.
How Kovrr Approaches AI Asset Discovery
Kovrr's AI Asset Visibility capability uses connected telemetry across browser, endpoint, network, and identity systems to discover AI assets continuously, without agents on user devices or invasive integrations. The result feeds directly into the AI Security and Governance Platform and the enterprise AI risk register.
Related Terms
Full AI Visibility. Full Control. One Connected Platform.
Enterprise AI is expanding faster than most governance programs can track. Kovrr connects every AI signal across browser, endpoint, network, identity, and vendor systems into a single platform so security, governance, and risk teams work from the same evidence.
