AI Proctoring
Catch cheating before it costs you a bad hire
Real-time tab, face, copy-paste, and AI-voice detection. Every flag timestamped on a scrubbable timeline - review in minutes.
Trusted by HR teams at 200+ companies
Live monitoring
Watches the whole screen, not just the webcam
Proctoring that stops at "is the webcam on" misses almost everything that actually matters. We track tab switches, fullscreen exits, copy-paste, print attempts, right-click menus, and keyboard shortcuts in real time. Flags fire the instant suspicious behavior happens, not when a reviewer gets around to it.
- Tab and window focus tracking - catches the ChatGPT tab in a second
- Copy-paste monitoring for both directions (into and out of the app)
- browser tools and console detection - candidates who know the tricks get caught
- Fullscreen exit detection flags candidates who leave the assessment window
Face detection
Catches impersonation and multiple people on camera
Continuous face detection flags missing candidates, face swaps, or multiple people on camera - no biometric storage, behavioral flags only.
- Missing-candidate flags when the face leaves the frame
- Multiple-faces flags when a helper enters or is visible
- Face-swap flags when the primary candidate appears to change
- No biometric storage - detection runs in-session, flags are event-based
Candidate review · 10:00
4 flagsAI voice detection
Catches ChatGPT reading the answers out loud
Lip-sync analysis catches candidates mouthing along to ChatGPT-generated answers - the biggest proctoring blind spot of 2026.
- Checks that the person speaking matches the person on camera
- Detects both pre-recorded responses and live AI-voice generation
- Flags confidence level so reviewers can triage false positives
- Works for voice and video interviews alike
Fast review
Every flag timestamped, review in minutes
A flagged interview takes ~3 minutes to review, not the full 30. Every flag is a jump-link into the recording. No scrubbing through hours of video.
- Scrubbable timeline with flags at exact timestamps
- One-click jump to the moment in the recording
- Mark as false positive with reason - trains the per-org filter over time
- Reviewer notes feed back into the hiring decision log
Candidate review · 10:00
4 flagsFull coverage
12 violation types, nothing slips through
12 distinct violation types tracked across browser, camera, and voice - each logged with timestamp and confidence score. Combined into a single integrity score per candidate.
- Browser-side signals: tab switch, fullscreen exit, copy, paste, print, keyboard shortcuts, right-click menu, developer console
- Camera-side signals: no face detected, multiple people, head turned away
- Voice-side signal: lip-sync mismatch with confidence score
- All signals combined into a single integrity score per candidate
Customer story · Xcelore
Xcelore relies on proctored engineering assessments to 5× their screening throughput without adding TA headcount.
Before Goodfit, the process was entirely manual. Recruiters reviewed every resume, then invited shortlisted candidates to full-day in-person rounds. There was no early filtering layer, a lot of time spent before anyone knew whether a candidate could actually code.
6 weeks
Hiring time saved
2,600+
AI interviews conducted
What you get
12
violation types tracked
3 min
average flagged-interview review
Timestamped
every flag, every time
On by default
zero config to enable
FAQ
Questions hiring teams ask about AI Proctoring
Do you store candidate biometrics?
What if a flag is a false positive?
Does it work for voice-only interviews (no camera)?
How accurate is the lip-sync detection?
Does proctoring slow down the candidate experience?
See Goodfit in action
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