AI Asset Discovery
Discover the AI assets your traditional inventory may be missing
Gain an evidence-based view of the AI operating across your enterprise. CyberProof helps uncover observable agents, LLM providers, MCP servers, users, and usage patterns – including sanctioned and unapproved activity – so security teams can build a more complete AI inventory and establish the foundation for stronger governance, monitoring, and control.
Three Pillars of AI Asset Discovery
Discover the AI Estate
Identify observable agents, LLMs, MCP servers, users, and usage across the enterprise.
Understand AI Usage
See who is using AI, which services are in use, and where sanctioned and unapproved activity exists.
Track AI Estate Changes
Refresh the inventory over time to see how AI assets, services, and usage patterns evolve.
You Can’t Secure AI You Can’t See
AI adoption is outpacing enterprise visibility
As AI adoption accelerates, new agents, LLMs, MCP servers, APIs, and AI workflows can appear across the enterprise faster than security teams can inventory them. Without continuous discovery, organizations risk operating with an incomplete view of their AI estate.
- Shadow AI can remain outside approved governance processes.
- Unapproved MCP servers and AI services can introduce unknown dependencies.
- Security teams may lack visibility into who is using AI, where, and how.
- Incomplete inventories make it harder to govern, assess, and secure AI assets.
Build Visibility Across Your AI Estate
Explore three short videos showing how organizations can build a clearer picture of their AI estate—from discovering agents, LLMs, MCP servers, APIs, and data, to understanding the identities and permissions behind them and observing how users, agents, and systems interact.
How leading enterprises are securing AI
Leading enterprises are treating AI security as a continuous lifecycle: discover the AI estate, govern agent access, protect sensitive data, monitor behavior and interactions, and maintain the auditability needed for governance and compliance. This creates a consistent foundation for scaling AI without losing visibility or control.
CyberProof AI Asset Discovery
Build a continuously updated view of your AI estate
CyberProof helps organizations discover, inventory, and understand the AI assets operating across their environment, creating the foundation for stronger governance, security, and control.
- Discover AI assets: Identify observable agents, sub-agents, LLMs, MCP servers, APIs, and related AI workflows across the enterprise.
- Build an AI inventory: Create a centralized view of AI assets that may sit outside traditional CMDB and asset-management processes.
- Identify sanctioned and unapproved AI: Distinguish approved services from shadow AI, unmanaged MCP servers, and other ungoverned activity.
- Understand usage and ownership: See which users, teams, and workflows are interacting with AI services and where activity is concentrated.
- Support continuous governance: Use discovery insights to prioritize access control, monitoring, exposure management, and remediation as the AI estate evolves.
How AI Asset Discovery Works
Turn existing security telemetry into a living AI inventory
CyberProof turns existing security telemetry into a continuously refreshed view of the customer’s AI estate.
- Connect existing SIEM data: Analyze AI activity in logs the customer already collects, without requiring endpoint agents, browser extensions, MDM rollout, or traffic re-routing.
- Discover observable AI assets: Identify AI agents, LLM providers, MCP servers, users, sessions, and usage patterns across the environment.
- Build a living inventory: Refresh discovery as often as every four hours and retain trend history to show how the AI footprint is changing over time.
- Keep sensitive logs in place: Maintain sensitive data within the customer’s SIEM while storing only the resulting discovery outputs.
- Move from inventory to control: Use discovery results as the foundation for onboarding assets into governed registries, identity and access controls, monitoring, and audit workflows.
- Work within available telemetry: Discovery depth depends on the quality and coverage of the logs already being collected.
Business Outcomes from AI Asset Discovery
Turn AI visibility into stronger governance and control
- “Reduce blind spots: Build a clearer inventory of observable agents, LLM providers, MCP servers, users, and AI activity across the enterprise.
- Improve governance: Distinguish sanctioned AI from unapproved or unmanaged usage and bring discovered assets into governed workflows.
- Strengthen security decisions: Give teams better context for identity, access control, monitoring, and remediation priorities.
- Track change over time: Continuously refresh the AI inventory to understand how the estate is evolving.
- Support audit readiness: Maintain evidence of AI assets, usage, and governance scope to support internal and regulatory requirements.
Discover What AI Is Really Running
Start with an AI Discovery Assessment
Get an evidence-based view of your AI estate, including observable agents, MCP servers, LLM providers, users, and usage patterns. Identify sanctioned versus unapproved activity, uncover governance gaps, and see where to prioritize access control, monitoring, and remediation.
