AI Interaction Data Fabric Insights
A Teardown of the 2023 Samsung ChatGPT Leak
September 30, 2026
Samsung ChatGPT Leak 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 source code pasted into ChatGPT?
Usage of ChatGPT was always visible in 2023. The exposure lived in two facts the division could not capture: what sat in the prompt and whose account received it. The AI Security Extension reads the paste before it is sent, source code entering a signed-in personal account with no corporate tenant, the field that makes the exposure unrecoverable. The Vendor Risk Catalog resolves the consumer-tier terms, trained on by default with no deletion right, while the directory names the person and the network corroborates that bytes left the device. Triangulated, the sources establish that text classified as source code entered a consumer account with no tenant and no deletion right, scoped in under half an hour rather than answered with a ban.
Why was banning ChatGPT the wrong fix for the Samsung leak?
A ban addresses the symptom that people were using the tool, which was never the part that was hidden. The exposure was the content of each paste and the account behind it, and blocking the domain pushes that same activity onto personal devices where the visibility that might have caught it disappears entirely. The division loses the telemetry while keeping the exposure. The ban was not a policy success; it was the price of not being able to measure what was left, which is exactly the capability that turns a violation into a scoped, defensible finding.
