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AI-assisted cheating detection

Protect hiring quality.
Detect AI-assisted cheating.

Candidates using AI to answer interview questions in real time are nearly impossible to spot by ear. MasterPrep catches them — across any role, any industry, any interview platform — without touching the candidate experience.

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Clear RISK SCORE 28% Human-likeAI-assisted
Signal breakdown
🧠 LLM Artifacts 80 / 100 · High risk

Phrases commonly generated by LLMs — "leverage", "delve into", "it's worth noting".

Evidence

Clustering of AI-typical phrasing: "low-hanging fruit", "leverage", "step function" — language patterns commonly produced by LLMs.

🔀 Semantic Overlap 75 / 100 · High risk

Whether responses sound like written text read aloud vs. spontaneous speech.

〰️ Perplexity / Burstiness 0 / 100 · Low risk

Sentence lengths vary naturally (CoV 69.9%) — characteristic of human speech.

💬 Disfluency Void 0 / 100 · Low risk

425 natural speech markers (fillers, restarts) — indicates spontaneous speech, not reading.

The new reality

AI interview assistants are invisible, instant, and everywhere.

Real-time tools like ChatGPT, Gemini, and specialized interview copilots can hear a question and whisper a polished answer in under two seconds. Interviewers hear fluency. They're hearing a machine.

Fluency is no longer signal

A candidate reading from an AI suggestion sounds calm, structured, and articulate — the exact markers hiring teams reward. Conventional interviewing has no defense.

AI answers in under 2 seconds

The latency of AI-assisted answers is now shorter than natural human thinking time. Pauses that once flagged hesitation now look like thoughtful candidates composing themselves.

Strong candidates get screened out

When AI-assisted candidates pass first-round screens, genuinely qualified people lose offers they earned. Unchecked, it corrupts the very pipeline you're trying to build.

What we detect

10+ signals across three categories

No single signal is conclusive. We combine 10+ signals across behavioral, content, and linguistic dimensions to produce a scored verdict — with full breakdown so you understand exactly what triggered it.

Behavioral signals

How the candidate delivers their answer — not what they say, but the physical and temporal fingerprints of how it arrives.

  • Response latency relative to question complexity
  • Filler-word frequency and natural hesitation patterns
  • Speech flow consistency across the full interview

Content signals

Whether the substance of answers reflects genuine experience or AI-synthesized knowledge — specific, grounded, and personally lived vs. generic and polished.

  • Specificity and groundedness of examples given
  • Answer-to-question relevance and depth calibration
  • Consistency of claimed experience across the session

Linguistic signals

Surface-level language patterns that distinguish spontaneous human speech from the structured, clause-heavy prose that AI models produce under time pressure.

  • Enumerative phrasing typical of AI generation
  • Lexical variety and vocabulary distribution
  • Structural formality relative to question register
10+ signals analyzed in total · Combined into one scored verdict with full breakdown
Two ways to use it

Built in or bolt on — cheating detection works either way

Inside every MasterPrep interview

Cheating detection runs automatically.
No setup required.

Every interview MasterPrep conducts — product sense, front-of-house, customer support, any role — includes a 10+ signal AI-assisted cheating analysis that runs after the interview completes.

  • Runs post-interview in the background — zero latency on the candidate experience
  • AI Plagiarism score and breakdown delivered alongside the structured scorecard
  • Works for every role type and industry — no per-role configuration needed
Scorecard · PM interview
Priya S. · Product Manager Recommend
Problem solving8.6
Communication8.1
Product sense9.0
Clear RISK 28% HumanAI
AI Plagiarism · Signal breakdown
🧠 LLM Artifacts 80 · High
💬 Disfluency Void 0 · Low
1

Share the meeting ID

Paste your Google Meet or Zoom link before the interview starts. Nothing else to install.

2

We analyze in the background

MasterPrep joins silently and runs the full 10+ signal analysis across the session. The candidate never knows it's there.

3

Scored report lands in your inbox

Full AI Plagiarism score, per-signal breakdown, and flagged moments — ready within minutes of the call ending.

Standalone — any Google Meet or Zoom

Your existing interviews. Now with cheating detection built in.

MasterPrep's AI-assisted cheating detection works as a standalone layer on top of any interview you're already running — human-led or otherwise. No new tooling for recruiters. No new experience for candidates.

"Share the meeting ID, we handle the rest. Results land in your inbox within minutes."

  • No new software for candidates or interviewers
  • Works across any role, industry, or seniority level
  • Full breakdown explains exactly what triggered concerns
Built for the real world

Why talent teams choose MasterPrep's AI-assisted cheating detection

Zero interview disruption

Analysis happens after the interview, not during. The candidate experience is identical whether cheating detection is on or off.

No candidate awareness

Candidates are never informed that AI-assisted cheating analysis is running. No proctoring pop-ups, no permission prompts, no changed behavior.

No added latency

Scores arrive after the session ends. Nothing in the cheating-detection pipeline touches the live interview flow or the candidate's experience.

Full breakdown

The report explains exactly which signals triggered concerns — so you can make a confident, defensible call, not a blind flag.

Request a demo to protect your hiring process

See how MasterPrep catches AI-assisted cheating across any role, any industry — built in or standalone on any Google Meet or Zoom.

Book a demo