Detect AI-assisted misconduct, impersonation, collusion, secondary device use, and exam fraud across online assessments—with evidence-based reporting for assessors and academic integrity teams.
AI Detection commentary and analysis report
Supporting screenshots of AI tools and apps
Random non-predictable snapshots of activity
AI usage probability score with comments
Face recognition with ID verification
Detect eye movement and viewing other devices
Full & summary Video and Audio recording
Detection of multiple windows and applications
Multiple face recognition & audio detection
Integration to external Student Information Systems (SIS)
Geolocate students completing exams with proximity flagging
Room scan function to check surroundings before starting an exam
Allow for multiple integrity checks on reviewed recordings
Filter assessments based on % probability of academic misconduct
“We assessed that incidents involving cheating or academic misconduct could have been as high as 30%.”
“IRIS has assisted us with reducing this to less than 1% – in the classroom and online.”