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Remote proctoring is the practice of supervising a test or assessment taken outside a physical exam room, using a combination of webcam monitoring, screen recording, and identity checks to recreate the oversight an in person invigilator would normally provide. It exists because online assessments removed the one thing that used to make cheating hard: someone watching.
Once a test moved from a supervised room to a candidate’s own laptop, the honesty of the result started depending entirely on remote proctoring to fill that gap.
Live proctoring uses a real person watching the candidate through video in real time, similar to an invigilator in a physical exam room, and is the closest analog to traditional supervision but the most expensive to scale. Recorded proctoring captures video, audio, and screen activity during the assessment for a human reviewer to check afterward, trading real time intervention for lower cost and easier scaling.
AI proctoring uses automated systems, facial recognition, gaze tracking, audio analysis, and behavioral flagging, to monitor in real time and surface only the sessions that look suspicious for human review, which is what makes proctoring practical at hiring volume rather than only for small cohorts.
A typical remote proctoring session verifies that the person taking the assessment matches the person who applied, usually through a document and facial match at the start. It monitors the environment for a second screen, another person in the room, or a phone being used for outside help.
It watches for behavior patterns that suggest an external answer source, unusual eye movement toward off screen material, long pauses followed by suddenly fluent answers, or browser activity that leaves the assessment window. And it timestamps and flags anything unusual so a human reviewer, not just an algorithm, makes the final call on borderline cases.
An assessment result that cannot be trusted is worse than no assessment at all, because it creates false confidence in a hiring decision. Glider’s own research into how proctoring works covers the specific mechanisms in more depth, and our post on the benefits of remote proctoring covers why organizations have moved to remote assessment formats in the first place, global candidate reach chief among them.
This page is meant as the starting point for readers who are new to the concept before going deeper into either.
Remote proctoring understandably raises privacy questions, since it involves webcam and, in some implementations, room scanning during a private moment. Reasonable implementations limit data collection to what is needed for integrity, are transparent with candidates about what is monitored and why, and retain recordings only as long as necessary for dispute resolution, rather than indefinitely.
Candidates should be told in advance what a proctoring session involves, since transparency itself reduces both actual and perceived intrusiveness.
Remote proctoring is not about assuming candidates are dishonest. It is about giving an assessment result the same credibility it would have had in a supervised room, so a hiring decision can actually rely on it. From here, our related ID Verify guide and skill assessment platform page cover the identity and testing layers this connects to in practice.
Remote proctoring is the practice of supervising an assessment taken outside a physical exam room, using webcam monitoring, screen recording, and identity checks to recreate the oversight an in person invigilator would normally provide.
It typically verifies the test taker’s identity at the start through a document and facial match, then monitors the environment and behavior throughout the session using live human review, recorded review, AI based automated flagging, or a combination of the three.
Modern remote proctoring combines automated flagging with human review of anything unusual, which improves accuracy over automation alone, though no system is perfect and reasonable implementations treat automated flags as signals for a human to review rather than automatic disqualification.
The three main types are live proctoring (a real person monitoring in real time), recorded proctoring (video and screen activity reviewed afterward), and AI proctoring (automated monitoring that flags suspicious sessions for human review).
Remote proctoring does involve monitoring a private space, which is why transparent implementations limit data collection to what integrity requires, clearly disclose what is monitored, and set reasonable data retention limits rather than keeping recordings indefinitely.
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Online exam monitoring is the set of methods a hiring team uses to make sure a candidate’s assessment result reflects that candidate’s own, unaided work. Unlike academic testing, where the stakes are a grade, a hiring assessment result feeds directly into a decision to extend an offer, so the cost of an unmonitored, unreliable result […]
