Protect your academic institution from graduating unqualified students

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.

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New AI Detection Features

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

Some of our clients

Before Iris...

“We assessed that incidents involving cheating or academic misconduct could have been as high as 30%.”

After Iris...

“IRIS has assisted us with reducing this to less than 1% – in the classroom and online.”

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