Hiring teams searching for "AI cheating detection" encounter a crowded market where most tools were built for a different problem. Exam proctoring platforms, coding assessment monitors, behavioral scoring engines, and post-interview video analysis tools all get grouped under the same umbrella — but they detect different things, at different points in the hiring funnel, with meaningfully different accuracy profiles for actual interview fraud.
This guide covers the ten tools most commonly evaluated by hiring teams, what each genuinely does, and where each one falls short.
1. HireBetter
HireBetter is purpose-built for the modern interview fraud threat model. It analyzes recorded video interviews — from any platform — for the behavioral, acoustic, and visual signals that indicate AI-assisted answers, off-camera coaching, identity fraud, and scripted responses. Each finding is timestamped and tied to a specific moment in the recording so reviewers can verify it directly.
Unlike exam proctoring tools, HireBetter was designed for the structure of a job interview: variable questions, no fixed correct answers, a single candidate on camera with an AI or human interviewer. Its signal set is calibrated to that context, not repurposed from an exam use case. It works on recordings from HireVue, Zoom, Teams, Loom, and any other platform that produces a video file.
2. Proctorio
Proctorio is one of the most widely deployed exam proctoring tools, primarily in higher education and certification testing. It operates as a browser extension, locking down the test environment, recording screen activity, and flagging anomalous behaviors like tab switching, clipboard use, or unusual eye movement.
It was built for fixed-answer exams, not open-ended video interviews. In a job interview context, its gaze-deviation flags produce a high false-positive rate — candidates thinking naturally get flagged alongside candidates reading from second screens. It has no model of interview-specific fraud signals (earpiece cadence, AI-response timing, voice/face sync).
3. ProctorU
ProctorU pairs live human proctors with automated monitoring for high-stakes exams — certifications, bar exams, medical licensing. A real proctor watches the session and can intervene in real time.
The live-human component gives it more judgment than purely automated tools, but it remains calibrated for exam fraud. A human proctor watching a 45-minute interview recording has no rubric for evaluating whether a candidate's response latency is consistent with AI generation, or whether their gaze pattern matches reading versus genuine recall. And at interview volumes, the per-session cost of live proctoring becomes prohibitive.
4. Mercer Mettl
Mercer Mettl combines psychometric and skills assessment delivery with AI-powered proctoring. It monitors test-takers via webcam and screen recording, flagging suspicious behaviors during the assessment window.
Its proctoring layer is better integrated with its assessment delivery than standalone proctoring tools, which reduces friction for structured skills tests. However, it has the same limitation as other exam-originated tools: it is not designed to analyze free-form video interview sessions and has no specialized signal set for conversational fraud patterns.
5. HireVue
HireVue is the dominant enterprise AI video interviewing platform. It conducts asynchronous video interviews, scores answers using natural language and behavioral AI, and ranks candidates for human review. It has meaningful gaze and engagement analysis — but this is oriented toward scoring candidate quality, not detecting fraud.
HireVue does not have a fraud detection layer. AI-generated answers that are well-structured and topically fluent score well on its rubrics. The system has no mechanism to distinguish a candidate who knows the material from a candidate reading a ChatGPT response. Post-interview integrity analysis is typically added on top of HireVue by teams that have encountered this gap.
6. Talview
Talview is a broader hiring platform that includes video interviewing, skills assessment, and a proctoring module. Its integrity features — webcam monitoring, environment scans, focus detection — are primarily designed for its assessment workflow rather than for open-ended video interviews.
Its integrated approach reduces the number of tools in a hiring stack, which appeals to teams running very high volumes. The tradeoff is that its fraud detection capability is general-purpose rather than specialized for the modern AI-assistance threat model.
7. Codility
Codility is widely used for technical hiring — it delivers coding challenges and has plagiarism detection that compares submitted solutions against known-solution databases and other submissions. It can flag solutions that closely match published answers or AI-generated code patterns.
For the coding portion of a hiring process, Codility's integrity features are more relevant than general proctoring — they catch the actual fraud vector (plagiarized or AI-generated code) rather than inferring it from behavioral signals. However, it covers only the coding assessment stage and has no applicability to video interview fraud.
8. TestGorilla
TestGorilla offers a large library of role-based skills tests and includes basic webcam monitoring — periodic snapshots and focus tracking during the assessment window. Its monitoring is designed for deterrence rather than forensic analysis: candidates who know they may be photographed are less likely to look at external resources.
It does not perform continuous video analysis or provide timestamped integrity findings. The snapshot approach catches obvious violations but cannot detect the subtler behavioral patterns associated with real-time AI assistance or coached responses in a live interview.
9. CoderPad
CoderPad is designed for live, collaborative coding interviews — a human interviewer works through problems with the candidate in a shared coding environment. The live nature of the session means an interviewer is present and can ask follow-up questions that test genuine understanding.
The integrity advantage of CoderPad is structural: a live interviewer who can probe the candidate's reasoning is a meaningful check on AI-assisted answers. However, this requires human interviewer time, which limits scale, and a sophisticated candidate can still use AI assistance before typing while appearing to think on the screen.
10. Willo
Willo is an async video interviewing platform positioned as a more accessible alternative to HireVue for smaller teams. It records candidate video responses to preset questions and presents them for human review. It does not currently offer AI-powered integrity analysis — candidates' recordings can be reviewed manually.
Teams using Willo who want integrity coverage typically export recordings and submit them to a dedicated analysis tool. The same AI-assistance and proxy fraud risks present in any async video interview apply here.
How to choose
Map the tool to the stage and the threat:
- Coding assessments: Codility or CoderPad for plagiarism and AI-generated code detection
- Skills tests: Mercer Mettl or TestGorilla for structured assessment integrity
- Video interviews (any platform): Post-interview integrity analysis for AI assistance, coaching, and proxy fraud
- High-stakes certification exams: ProctorU for live human oversight
The mistake most teams make is applying an exam proctoring tool to a video interview context and expecting it to catch modern AI-assisted fraud. The signal sets don't transfer. Exam proctoring detects whether someone looked at their neighbor's paper. Interview integrity analysis detects whether someone is reading generated text from a second screen — a different problem that requires a different approach.
See these signals detected automatically
HireBetter analyzes every interview recording and surfaces each flag with a timestamp and reviewable clip — so you can verify it, not just trust it.