Exam invigilation
Biometric & Audio AI Proctoring Hardening Techniques
Hardening a proctoring setup means liveness detection (unpredictable movements prompted mid-exam), video-stream analysis to spot deepfake artifacts, and cross-correlation of camera, microphone and device sensor signals against pre-recorded stream replay. These are the criteria to put to a vendor: Educati ships no proctoring module and performs none of this processing.
Why this matters now
As deepfake and stream-injection tooling becomes accessible, a setup relying on static facial checks loses its evidential value. If your institution is considering proctoring, these are the three points to get written into the contract.
Active liveness detection
The system prompts the candidate for random, unpredictable movements — a head turn, a timed blink pattern — that a pre-recorded video cannot satisfy. Ask the vendor how often these prompts fire and what false-positive rate they measured, not merely whether the feature exists.
Multi-sensor correlation
Cross-checking camera, microphone and motion-sensor timestamps exposes the inconsistencies typical of a stream injected into the webcam driver. Specialist vendors know the technique; insist on knowing which variant is actually implemented and on which devices it was validated.
What Educati does, and does not, do
Educati offers no proctoring module: no video analysis, no liveness prompts, no sensor correlation, no biometric collection. Integrity rests on the invigilated room — named seats, designated invigilators, convocations and a session report — backed by granular roles and an audit log of grade changes, exports and permission grants. This article is an evaluation grid for institutions assessing a third-party tool, not a description of an Educati feature.
See the Educati alternative: the invigilated in-room exam
Frequently asked questions
Does Educati offer a hardened proctoring module?
Does hardening slow down the candidate experience?
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