AI Interaction Data Fabric Insights
Building an AI Usage Inventory From Three Reads
October 14, 2026
AI Usage Inventory FAQs
Speak to an ExpertWhat is the AI Interaction Data Fabric?
The AI Interaction Data Fabric is the layer inside Kovrr's AI Security and Governance Platform that draws telemetry from every connected source into one analytical view, spanning network, identity, browser, endpoint, cloud, and the AI Vendor Risk Catalog. Signals that each source records in isolation get triangulated into a single dated and attributed finding. Exposure that stays invisible to any one console surfaces once the sources are read against one another.
What does signal triangulation mean?
Signal triangulation is the practice of reading telemetry from several independent sources against one another rather than trusting any single log. A paste captured in the browser carries little weight alone, and an identity resolved in the directory carries little weight alone. The exposure appears only where those separate readings overlap, which turns a set of benign events into one reportable finding.
How does the AI Interaction Data Fabric build an AI usage inventory?
Three surfaces an organization already holds admin credentials for join on one identity to answer who is using AI. The Provider Admin API supplies the denominator, all 140 entitled members, which a telemetry stream can never give since a stream shows only those who reported. Agent telemetry supplies the numerator, the 31 who actually ran something and how much, carrying no content. The directory turns addresses into people and, alone among the three, reaches a grant to a vendor never connected. Triangulated, the reads answer how many people in which teams are doing what with AI, and subtracting the numerator from the denominator gives the finding no single report held, the fraction of the fleet not yet visible.
Why can an AI usage register not show what data was sent?
The register answers who, which, and how much on day one from surfaces already owned, but it cannot answer what left, because the provider account carries no content by default and this exercise reads none. It cannot tie an agent run to the machine it ran on, and it says nothing about any tool never connected. Correlation does not lift that ceiling, since no source in the set holds the content in the first place. The honest response is to treat the empty column as the deployment plan, naming where the picture stops rather than implying a completeness the reads cannot deliver.
