Guides
Answers on AI cheating in exams and interviews
Practical, vendor-honest guides for institutions and hiring teams: what AI-assisted cheating looks like now, why browser-based proctoring misses it, what device-level detection sees, and how to document a flagged session so the decision holds up.
All guides
How to prevent AI cheating on take-home case studies and modeling testsTake-home case studies, modeling tests and written assessments are now completed by AI in minutes. Here is how banks, PE firms and search firms keep the take-home and still know who did the work.How to Stop Students From Cheating With AIA practical guide to stopping AI-assisted cheating in online exams: exam design, device-level proctoring, and audit-ready integrity reports.How to Catch Students Cheating in Online ExamsHow to catch cheating in online exams: the signals that actually indicate AI assistance, why browser proctoring misses them, and how to document findings defensibly.How to Stop People Cheating on InterviewsHow to stop AI-assisted cheating in remote interviews: why screen share is not enough, what device-level detection catches, and how to document findings.How to Catch Interview CheatingHow to catch interview cheating: the behavioral and device-level signals that reveal AI assistance, and how to document a flagged interview defensibly.Interview Cheating: What It Looks Like and How to Stop ItA complete guide to interview cheating with AI: the tools candidates use, why screen share misses them, detection options, and defensible review workflows.College Cheating and AI: What Institutions Can Actually DoHow AI changed college cheating, why text detectors and lockdown browsers fall short, and what device-level exam integrity looks like in practice.Can ChatGPT Be Detected During Online Exams?Whether ChatGPT use can be detected during an online exam, why text detectors and lockdown browsers fall short, and what device-level signals actually reveal.How to Prevent Cheating on Online ExamsA practical framework for preventing online exam cheating: assessment design, clear policy, device-level proctoring, and blocking restricted applications.What Is Interview Fraud?Interview fraud explained: impersonation, proxy interviewing, and AI-assisted answering - - - the categories hiring teams face and how to document them defensibly.How to Detect AI in Coding InterviewsHow engineering teams detect AI copilots and answer overlays during technical interviews, and how to document findings without accusing a candidate unfairly.Proctoring Software That Detects AI: What to Look ForAn evaluation guide for proctoring software that detects AI assistance: the architectural questions to ask, the signals that matter, and the claims to distrust.How to Add an Integrity Layer to Your Assessment PlatformFor assessment platform founders: how to add a white-label integrity tier that runs alongside native proctoring, integrates through a wrapped launch link, and monetizes.How to Write an AI Policy for ExamsHow to write an exam AI policy: define permitted and banned tools, include adaptable sample language, communicate it before test day, and enforce it fairly with evidence and human review.What Is an Integrity Report?An integrity report is a timestamped, audit-ready record of device-level events during an exam or interview session, built for human review in academic misconduct and hiring processes.How to Detect Cluely and Tools Like ItHow to detect Cluely-style overlay assistants and similar tools during exams and interviews, why browser monitoring misses them, and how device-level detection produces audit-ready evidence.
See detection and reporting end to end
A short walkthrough of a live session, a flagged detection, and the resulting integrity report.