Research

AI Cheating in Online Exams: Primary-Source Research and Statistics

Primary-source research on AI-assisted cheating, assessment fraud, and the tool ecosystems that have made detection architecturally impossible.

March 2026

AI Cheating Statistics 2026

A comprehensive, annually updated dataset covering AI-assisted cheating rates, fraud trends, tool ecosystems, regional breakdowns, behavioral detection signals, and the financial cost to employers.

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Quarterly

Threat Index — Q2 2026

Quarterly tracking of invisible AI overlays, remote-access tools, proxy services, and the defenses that attempt to stop them. Dataset published under schema.org/Dataset.

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