AI Cheating Detection for Online Exams
Identify AI-assisted misconduct and unauthorized tools with browser-native integrity monitoring.
Flags ChatGPT extensions, Claude, and similar browser tools.
Detection runs locally — no video upload required.
Structured timelines for proportionate, contestable decisions.
The new cheating landscape
Generative AI tools have changed assessment security. Candidates can access AI assistants via browser extensions, secondary devices, or remote sessions — often undetected by legacy proctoring that focuses on video recording rather than tool detection.
What ProctorSafe detects
ProctorSafe monitors for AI-assisted misconduct through browser-native signals:
AI browser extensions
ChatGPT, Claude, and similar tools
Remote desktop software
TeamViewer, AnyDesk, and equivalents
Screen sharing applications
unauthorized collaboration channels
Tab switching
navigation away from the assessment
Network activity
requests to unauthorized domains
Local detection, minimal data collection
Unlike cloud-based proctoring that uploads full video for post-hoc analysis, ProctorSafe runs detection locally in the browser. This means:
- Faster signal generation during the exam
- No dependency on uploading hours of footage
- Reduced privacy impact on candidates
- Lower bandwidth requirements
Evidence for reviewers, not automated punishment
Every detection event is logged with timestamps and severity. Reviewers access structured timelines and trust scores — supporting proportionate, contestable decisions aligned with your academic integrity policies.
Learn more
Read our article on detecting generative AI cheating or request a demo.
Related reading
Dive deeper with guides from our articles library.
The Rise of the “Cheatbots”: How AI Proctoring Must Evolve for ChatGPT-5
Why webcam-only proctoring is no longer enough, and which integrity signals help against generative AI assistance.
Read articleTechnical architectureEdge AI vs. Cloud AI: The Future of Real-Time Exam Monitoring
Latency, reliability, and privacy trade-offs between edge (on-device) and cloud-based proctoring architectures.
Read articlePedagogy & ethicsEthics in AI Proctoring: Bias, Fairness, and the Human-in-the-Loop
How to design and operate proctoring that avoids biased outcomes, documents limitations, and keeps humans accountable.
Read articleFrequently Asked Questions
Common questions about privacy, compliance, and integration.
Ready to Get Started?
Request a demo to see how privacy-first proctoring fits your assessment workflow.