Anti-Cheating Monitor
The monitoring system tracks each assessment using signals such as mouse movement, assessment-window activity, device data, IP address-based location, and webcam presence.
Detect suspicious behavior and AI use in every assessment with monitoring that turns session activity into clear cheating scores you can trust.
Instead of relying on a single red flag, you get clear detection scores at the assessment and question level, helping you review suspicious behavior with more context and confidence before making hiring decisions.
The monitoring system tracks each assessment using signals such as mouse movement, assessment-window activity, device data, IP address-based location, and webcam presence.
Behavioral tracking analyzes the full assessment session instead of reacting to a single event, helping hiring teams spot suspicious patterns throughout the session.
Scoring turns multiple monitoring signals into an easy-to-read score for the overall assessment and for each custom question, so you can quickly spot results that may need closer review.
When assessments happen remotely, the challenge is not only measuring skill; it is knowing whether the result can be trusted. Our AI-powered monitoring system combines behavioral, technical, and session-level signals to produce clear cheating indicators, helping hiring teams review risk faster and with more confidence.
Pair this product with the tools that verify skills, protect test integrity, rank top talent, and keep results moving through your hiring workflow.
Build role-specific assessments with tests, custom questions, and practical tasks that show who can do the job before interviews.
Launch faster with 150+ science-backed tests for job skills, cognitive ability, communication, and workplace judgment.
Rank candidates by role-critical skills automatically, so recruiters review the strongest matches first.
Send invites, progress, scores, and assessment outcomes into your ATS so hiring teams can act without switching tools.
Everything you need to know about screening and assessing candidates with Wetest.
The system combines signals such as mouse behavior, assessment-window activity, device data, IP address-based location, and webcam monitoring to detect suspicious patterns.
The AI detector score is a session-level risk score that helps recruiters quickly identify assessment sessions that may need closer review.
The system provides one overall cheating score for the full assessment as well as separate scores for each custom question.
Question-level scoring helps hiring teams identify where suspicious behavior may have happened instead of reviewing the entire assessment as one block.
The score is based on multiple signals and session-wide behavioral patterns rather than one isolated event.