AI Interview Cheating Tools Use GPU Overlays to Evade Screen-Share Detection

Short summary

A new category of AI cheating tools uses GPU-level overlays to render LLM-generated answers below the screen-share capture layer, making them invisible to Zoom, Teams, and Google Meet proctoring. Fabric analyzed 19,368 interviews and found 38.5% of candidates triggered cheating flags, rising to 48% for technical roles, with 61% of flagged cheaters still advancing in the pipeline. The article argues that current screen-share monitoring is security theater and that companies need to redesign interview measurement rather than rely on detection tools.

• •AI overlay tools like Cluely render answers below the screen-share capture layer, invisible to proctoring software
• •38.5% of candidates triggered cheating flags across 19,368 interviews; 48% for technical roles
• •61% of flagged cheaters still passed and advanced, indicating a broken measurement system rather than just a detection gap

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