Corpshore Exams introduced a six-signal proctoring engine built to detect AI-assisted cheating in high-stakes exams, with human review of every flagged event.
Outsource Accelerator reported that Corpshore Exams, part of Corpshore Solutions Corporation, launched a proctoring engine designed for the threat that autonomous AI tools pose to exam integrity. The company described it as the first exam integrity platform built specifically to detect agentic AI cheating.
Where conventional proctoring flags a candidate on a single behavioral signal, the Corpshore engine fuses six concurrent signals: gaze off-screen, background voice, mouse motion anomaly, keystroke cadence, face-match drift, and network forensics. The network forensics signal monitors API-level traffic to detect connections to AI language models during an exam, a gap that has made AI-assisted cheating hard for single-signal systems to catch.
Every risk event flagged by the engine is reviewed by a senior human proctor, a design choice the company contrasts with automated platforms that adjudicate without human review. The report notes the platform operates across 18 countries and supports more than 13 languages natively, which positions it for non-English exam sessions that English-first systems struggle to cover.
For certification bodies, licensing organizations, and universities responding to the agentic AI era, the announcement frames exam integrity as an infrastructure question rather than a feature checkbox.
Back to the newsroomEvery proctoring vendor in the market today flags on a single signal, and a single-signal flag is exactly what a modern AI cheating tool is designed to defeat. The only defence against multi-modal AI assistance is multi-modal AI detection.