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Online ProctoringJun 2, 2026·8 min read

AI Proctoring: How It Works (and How to Pick a Vendor in 2026)

AI proctoring uses computer vision, audio analysis, and browser signals to flag cheating in real time. Here's what to look for when choosing an AI proctoring vendor.

DeepTech Editorial Team
DeepTech Editorial Team

DeepTech by APQOR

High-stakes online exams demand integrity. AI proctoring uses computer vision (face tracking, gaze direction, multiple-person detection), audio analysis (background voices), and browser signals (tab switching, copy-paste) to flag suspicious behaviour in real time — at a fraction of the cost of human proctors.

Three proctoring modes

  • Auto-proctoring: AI watches, flags, no human in the loop. Cheapest, scales infinitely.
  • Record-and-review: AI watches, human reviewer audits flagged incidents afterwards. Balanced.
  • Live proctoring: Human proctor watches in real time. Highest assurance, slowest to scale.

What to look for in a vendor

Concurrent scale (50k+ test-takers without queueing), false-positive rate (audited), privacy posture (data residency + retention controls), regional readiness (low-bandwidth modes for emerging markets), and learner UX. See AI proctoring software for the full feature matrix.

The accessibility caveat

AI proctoring has documented bias issues with darker skin tones and certain disabilities. Always pair it with a human-review escalation path and publish your appeals policy. See our compliance overview for our approach.

Tags

#AI proctoring#online exams#exam security#remote proctoring

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