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An embedded integrity layer for online assessments that detects cheating through on-device monitoring and delivers a server-authoritative verdict.

The story so far

Screenshot of the Procteye Integrity SDK homepage
Homepage of Procteye Integrity SDK

Procteye Integrity SDK is a proctoring system that monitors online assessments for signs of cheating, including off-screen looking, multiple faces, phones, background voices, tab switching, and virtual machines. Detection runs on the candidate's device using on-device classifiers; raw signals are never sent to servers, only classified events.

Integration happens at two points: a server-to-server API for session management and webhooks, and a browser or mobile SDK that runs the actual monitoring. The system offers three assurance tiers—Basic (browser only), Standard (with phone observer), and High (with desktop lockdown)—allowing you to choose the level of monitoring that matches your exam's requirements.

Procteye is built around privacy by default: video stays on the device unless you explicitly opt into evidence capture, and you control what evidence is recorded (none, thumbnails, or short clips). The platform is designed with GDPR, FERPA and BIPA compliance in mind.

Typeset features

  • Tab-focus, copy/paste, fullscreen-exit and single-face checks via webcam
  • Phone observer for second angle detection
  • Desktop lockdown with kiosk mode and keyboard hook
  • On-device processing with MediaPipe classifiers
  • Evidence control options: none, thumbnails, or short clips
  • Server-authoritative verdict system
  • Webhook notifications for threshold crossings
  • GDPR, FERPA and BIPA compliance by design
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Procteye Integrity SDK metrics

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Procteye Integrity SDK launch colophon

Measured after Procteye Integrity SDK went live on Zivaro Launch on 13 November 2026.

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First measured 13 Nov 2026
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First measured 13 Nov 2026
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First measured 13 Nov 2026

Day 0 since launch. Next receipt: day 30, 13 Dec 2026. These are measurements, not proof of cause: many things move these numbers. Figures we have not measured are left out.

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Questions and answers

What signals does Procteye detect for cheating?

Procteye watches for signs including the candidate looking off-screen, a second face appearing, a phone in frame, a voice in the background, a switched tab, and virtual machines. These raw signals are turned into a single risk score and verdict.

How are assessments monitored without sending raw video to servers?

Detection runs on the candidate's own device using classifiers; your backend only ever sees classified events, never a raw video feed. The video never leaves the device unless you explicitly opt into evidence capture.

What are the three assurance tiers?

Basic runs entirely in the browser with tab-focus and webcam checks; Standard adds a mobile observer for second-angle detection; High adds the lockdown client with kiosk mode, keyboard hook, and VM detection for high-stakes exams.

How long does it take to integrate Procteye?

You can start in under five minutes: your backend calls the session API with your secret key, add a short snippet to the page, and receive a final verdict when the candidate finishes.

Is Procteye compliant with privacy regulations?

Yes, Procteye is designed with GDPR, FERPA and BIPA in mind, with on-device processing, explicit consent, evidence minimization and a documented retention window as defaults.

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