Resources
Interview fraud detection, explained.
Candidates are using AI to cheat in interviews. These guides cover how detection works, what to demand from vendors, the legal rules, and how the platforms compare. No sales pitch. Each guide cites what we can verify.
How AI Interview Cheating Detection Actually Works
Screen capture, audio analysis, and behavioral signals: how modern AI interview cheating detection actually catches fraud in real time.
False Positive Rates in AI Proctoring: What HR Leaders Should Demand
Every AI proctoring vendor claims accuracy. Demand a published false positive rate, timestamped evidence per flag, and a human in the loop.
Is It Legal to Detect Cheating in Video Interviews?
EU AI Act, NYC Local Law 144, and candidate consent: what HR teams need to know before deploying interview fraud detection.
Cluely and InterviewCoder: What Recruiters Need to Know
AI cheating tools like Cluely and InterviewCoder feed candidates real-time answers. Here is how they work and how recruiters catch them.
Fraud Detection Compared: RightMatch vs HireVue vs Pillar vs Harver
How the leading AI interview platforms compare on cheating and fraud detection: screen capture, voice analysis, risk scoring, and audit trails.
See it in the product
RightMatch fraud detection runs on every AI interview: continuous screen capture, per-frame voice analysis, and a published under-0.4% false positive rate.
Explore fraud detection →