Best tools to detect AI cheating in interviews (2026)
Updated October 27, 2026
We make Verified Call, one of the tools below. We describe every other tool only from its own public pages, linked, and say where each one fits best.
Interview integrity tools work in four ways: a check on the candidate's computer, a bot that joins the call, an interview or test platform with built in checks, and deepfake detection on the call's video and voice. The question that decides which you need is simple: what are you most worried about?
Hidden AI helpers, swapped faces and stand in candidates are different problems. Each one leaves its evidence in a different place. A tool that is strong on one can be blind to another, so match the tool to the risk you see most.
How to choose an interview integrity tool
Start with the threat, then check the practical fit.
- Hidden AI tools. Apps like Cluely draw windows that screen sharing does not capture. Only a check that runs on the candidate's own computer can see those windows and name the app.
- Face swaps and AI avatars. These usually reach the call through camera software that pretends to be a webcam. You want a check of which camera sends the video, plus a comparison of the face over the call.
- Proxies, where someone else answers. You want identity checked continuously, not only at the start, so a switch partway through is noticed.
- Does it join the call as a bot? Some teams are fine with an extra participant. Others want nothing new in the meeting.
- Which meeting platforms? Check that the tool supports the one you use today, not only on a roadmap.
- Does it publish false alarm rates? A tool that flags honest people costs you good candidates. Ask how often it flags someone who did nothing.
- Candidate consent and privacy. Ask what the candidate sees, what they agree to, what is stored and for how long.
The tools, grouped by approach
Ten tools, in four groups. Where a vendor's page does not say something, we say so rather than guess.
Checks on the candidate's computer
Verified Call. Our product. The candidate runs the Verified app on their Mac (Apple silicon) or Windows PC after agreeing on a consent screen. The host uses the Verified extension in Chrome with Google Meet. The app checks for AI tools hidden from screen sharing, checks which camera sends the video, and compares the face during the call. It never joins the call. Platforms: Google Meet in Chrome today, with Zoom and Microsoft Teams coming soon. Fits best: teams on Google Meet who want hidden AI tools, camera software and face changes checked without a bot. Source: verifiedcall.app.
Truely by Validia. Validia describes Truely as a tool that can catch AI use live on calls. Its page asks the interviewer to have the candidate download and run the tool during the call. Approach: a candidate side app. Platforms: the page lists macOS 10.15 and later, and does not mention Windows. It does not say which meeting platforms it works with, or describe its method in detail. Fits best: teams interviewing Mac users who want a check for hidden AI help. Source: Validia's Truely page.
A bot or notetaker that joins the call
Sherlock AI. Sherlock calls itself an interview proctoring agent. It says it flags AI copilots, deepfakes and proxy candidates in real time, combining device activity, audio and candidate behavior. You give it permission to join meetings that are job interviews. Platforms: it names Zoom, Google Meet and Microsoft Teams. We could not find on its page whether candidates install anything. Fits best: teams across several meeting platforms who are comfortable with an agent in the call. Source: sherlock.sh.
BrightHire. BrightHire is an interview intelligence platform. Its blog post says it joins interviews automatically and adds integrity signals across behavior, identity, device and context next to the transcript, with no agent for candidates to install. It describes extra signals and deepfake detection for Zoom customers, powered by Zoom. Platforms: the post names Zoom. Fits best: teams already using BrightHire for interview notes and scoring, especially on Zoom. Source: BrightHire blog.
Interview or assessment platforms with integrity features
Talview. Talview runs interviews and assessments on its own platform. It describes identity checks, a secondary camera view of the desk, gaze tracking compared with response timing, and a secure browser. Its help pages say evaluators get an alert when a virtual camera such as OBS Virtual Camera, Snap Camera or ManyCam is found on the candidate's device. Platforms: its own platform. Fits best: high volume hiring that can move interviews onto Talview. Source: Talview blog and Talview help and Talview on identity checks and its secure browser.
HireVue. HireVue describes an integrity layer built into its platform that connects identity, environment, behavior and response signals. It lists ID verification, identity continuity, candidate snapshots, browser focus flags and disabled paste. It says a single behavior should not be treated as proof on its own. Platforms: the HireVue platform, for assessments and interviews. Fits best: teams already running assessments or recorded interviews in HireVue. Source: HireVue platform page.
Fabric. Fabric makes an AI interviewer that runs first round interviews and scores them inside your applicant tracking system. Its blog describes integrity checks as built into the interview, with each flag kept with its evidence and treated as a signal to weigh, not an automatic reject. It also leans on role specific formats such as live coding and case studies. Platforms: its own AI interview. Fits best: teams who want an AI to run first round screens. Source: Fabric blog.
HackerRank. HackerRank is a coding test platform. Its help center describes a Desktop App Mode for Windows and macOS that blocks other applications during a test, prevents screen sharing and screenshots, and refuses to run on a virtual machine. This is a candidate side app, but for tests on HackerRank rather than calls in a meeting app. Fits best: technical hiring with take home or timed coding tests. Source: HackerRank help.
Deepfake and voice stream detection
Reality Defender. Reality Defender says its RealMeeting product analyzes participants' audio and video during a live meeting for signs of AI generation, and the host decides what to do. Its help center describes an app for Microsoft Teams, and a Reality Defender article on a live demo describes a secure Zoom bot that streams video and audio to its detection. Platforms: Microsoft Teams, and Zoom in that demo. Fits best: security teams who want deepfake checks across many kinds of meetings, not only interviews. Source: Reality Defender RealMeeting, its Microsoft Teams guide and its Zoom demo.
Pindrop Pulse for Meetings. Pindrop says Pulse for Meetings analyzes meeting audio and video throughout the call for AI generated speech, voice clones, synthetic avatars and face swaps. It also checks a voice against an enrolled voice and flags unexpected locations and VPN use. Platforms: it names Microsoft Teams, Zoom and Webex. It does not say whether it joins as a participant. Fits best: organizations that already trust Pindrop for voice security, on Teams, Zoom or Webex. Source: Pindrop Pulse for Meetings.
Comparison by approach
This table compares the approaches, not the vendors. It follows from where each approach runs.
| Approach | Sees AI tools hidden from screen sharing | Tells a webcam from camera software | Stays out of the call | Typical platforms |
|---|---|---|---|---|
| Check on the candidate’s computer Verified Call works this way | Yes. Runs where the hidden window is | Yes. If it checks the camera source | Yes. No bot in the call | Depends on the tool; Mac, Windows or both |
| Bot or notetaker in the call | No. Not from the call alone; it receives only what the call sends | No. Not from the call alone; it sees the picture, not the source | No. Joins as a participant | Zoom, Google Meet, Microsoft Teams |
| Interview or test platform | In some cases. Only with its own locked browser or desktop app | In some cases. Only if its own app or browser checks the camera | It is the call | Its own platform |
| Deepfake and voice stream detection | No. It judges the video and voice | No. Not directly; it judges the picture, not the source | In some cases. Often joins, as a bot or meeting app | Zoom, Microsoft Teams, Webex |
Many teams combine approaches. A test platform for coding rounds and a live call check for interviews is a common pair.
Where Verified Call fits
Verified Call checks the candidate's Mac or Windows computer and compares it with the call, without joining it. The Verified app looks for AI tools hidden from screen sharing, checks which camera sends the video, and compares the face during the call. It never joins the call. The result shows as a badge in Google Meet, with the reason in plain words.
We publish our test results, including false alarms:
- Each of 4 hidden AI tools found in 30 of 30 tries, 0 false alarms in 30 tries with no AI tool open and 0 in 30 with everyday apps open (October 4, 2026).
- 29 of 29 tries on every way of sending video we tested, 9 kinds of camera software and 7 direct cameras (September 30, 2026).
- On recordings of 70 people, 0 of 3,990 sessions with someone else's face got through, and 962 of 970 sessions with the real person were cleared, 99.2% (October 1, 2026).
Where it is not the fit today:
- Teams that interview only on Zoom or Microsoft Teams. Verified Call works with Google Meet in Chrome today, and Zoom and Microsoft Teams are coming soon.
- Teams that need ID document checks. Verified Call does not read ID documents.
- Coding tests outside a live call. A test platform with a locked down mode fits that better.
- Candidates who cannot install apps on their computer, since the check needs the Verified app.
Frequently asked questions
What is the best tool to detect AI cheating in interviews?
It depends on the risk. For AI tools hidden from screen sharing, use a check on the candidate's computer. For deepfakes on Zoom or Teams, stream detection fits. For coding tests, a test platform with a locked mode fits. Pick by threat and meeting platform.
Can interview software detect AI tools that are hidden from screen sharing?
Only if it runs on the candidate's computer. A hidden window is never sent to the call, so a bot or stream detector cannot see it. A candidate side app can find windows hidden from capture and name the app.
Do I need a bot in the call to detect deepfakes in interviews?
No. Some tools join as a bot, but a check on the candidate's computer can see which camera sends the video and compare the face without joining. Verified Call works this way and never joins the call.
How do you detect a proxy in a video interview?
Check identity throughout the call, not only at the start. Tools compare the face or voice over time, or check ID at set steps. A single check at the start misses a person who switches in later.
Do candidates have to agree to an interview integrity check?
A fair check asks first and says what it looks at. Verified Call shows the candidate a consent screen before any check runs. Rules differ by country and state, so ask your own legal team what applies to you.
See it on a real call
Book a short demo and we will show the check on a Google Meet call, so you can judge the fit for your own interviews.