AI Interaction Data Fabric Insights
A Teardown of the Drift OAuth Supply-Chain Compromise
August 26, 2026
Drift OAuth Breach 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 detect a vendor OAuth compromise?
A supplier's stolen OAuth tokens exporting records from a customer's Salesforce reads as authorized app traffic to any single log, since the grant is legitimate and only the use is not. Event monitoring catches the reconnaissance: three object counts in thirteen seconds from an address the vendor does not run, without a reliable record of the export that follows. The Vendor Risk Catalog resolves the connected app to its vendor and every other grant that vendor holds, scoping the response rather than raising the alarm. Triangulated across the customer-side logs, the sources turn a supplier's disclosure into a dated and scoped finding on day one rather than a rotate-everything guess in week three.
Why do stolen vendor OAuth tokens evade detection?
A supplier's OAuth grant is legitimate, so traffic using its stolen tokens reads as authorized app activity in any single log. The theft itself happens inside the vendor's environment, which no customer log records. On the customer side, the export runs in about three minutes, and the job is deleted, leaving the reconnaissance that precedes it as the reliable trigger rather than the export itself. Detection depends on reading the enumeration, the vendor resolution, and any downstream credential use against one another, since no single record spans the chain.
