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InterviewWatch

Freemium

Summary

You extended an offer, the hire passed every interview, and six weeks later you realize the answers that landed them the role came from an AI overlay they ran the entire time — and you have no record, no proof, and no recourse.

InterviewWatch runs a consent-gated agent on the candidate's machine for the duration of a live interview, watching machine-level signals — hidden AI overlays, extra displays, clipboard activity, virtual cameras, remote access — without ever capturing screen, audio, or video. Each signal fires with a timestamp, feeds a live risk score you see in real time, and lands in a signed, tamper-evident report you can hand to compliance or legal after the fact. The 'no recording' boundary is the architectural bet the vendor makes: you get metadata provenance, not content capture. That distinction matters to privacy counsel and GDPR reviewers. It also means the report proves something suspicious happened, not exactly what the candidate said.

Bottom line: Use InterviewWatch when your compliance team needs a defensible, auditable record of interview integrity signals — and accept that for teams who need to replay what was actually said or coded, the no-recording design is a deliberate wall, not a missing feature.

Pricing Plans

Usage-Based
Price
$5 per interview after trial
Free Tier
5 trial interviews

Free

Free

5 trial interviews, 1 recruiter seat, live monitoring, consent flow, signed reports, email support

  • 5 trial interviews
  • Live interview monitoring
  • Signed integrity reports

Professional

per month
$200/yr

$5 per completed interview plus $200 annual platform fee

  • Company analytics
  • Team and role workflows
  • Priority support

Enterprise

Custom

Unlimited interviews with ATS, SSO, governance and support

  • ATS integration
  • SSO
  • Governance features

View full pricing on interviewwatch.com →

Pricing may have changed since last verified. Check the official site for current plans.

Community Performance Report Card

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Best For: Recruiting teams concerned about AI cheating, High-volume technical hiring with compliance needs, Organizations requiring tamper-evident interview records

Community Benchmarks Community

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  • Real-time signal detection during the live session means a flagged AI overlay appears on the interviewer's dashboard while the interview is still running — not after an offer is already extended.
  • Cryptographically signed, tamper-evident reports give compliance and legal reviewers a record they can cite in hiring audits, which means integrity evidence survives the he-said-she-said problem that unsigned session notes create.
  • The agent captures no screen, audio, video, files, or browser history, so candidates in jurisdictions with strict data privacy requirements can consent without triggering the legal exposure that full proctoring tools create for employers.
  • Monitoring covers 12+ machine-level signals — including AI overlays, virtual cameras, and clipboard activity — so the detection surface is broad enough to catch tools like dedicated interview-assist overlays that a basic process list check would miss.
  • Consent-first design with session-scoped agent execution means the tool exits cleanly when the interview ends, which reduces the attack surface that always-on monitoring agents expose to candidate legal challenge.
  • The no-recording boundary means the signed report proves a signal fired — second screen detected, clipboard captured — but cannot show what the candidate actually said or typed in response. Hiring managers who want to replay suspicious moments to confirm a decision will find the report points to a gap, not fills it.
  • The agent must run on the candidate's machine, which requires candidate consent and a successful install for the session duration. Candidates who decline consent, run restricted corporate machines, or encounter install failures produce no integrity data at all — leaving the recruiting team with an unverified interview and no fallback signal.
  • There is no API and no self-hosted option, which means teams running high-volume pipelines through an existing ATS or building internal tooling around interview data cannot automate report ingestion or trigger downstream workflows. Teams that need this level of integration will evaluate dedicated ATS-native integrity add-ons instead.
  • Detection coverage is bounded by what the agent can see at the OS signal level. Candidates using a second physical device — a phone with an AI assistant open beside the laptop — produce none of the machine-level signals the agent watches for, and the tool provides no guidance on what teams should do when that gap appears.

Community Reviews

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About

Platforms
Web dashboard and small desktop app for candidates
API Available
No
Self-Hosted
No
Last Updated
2026-07-09T18:41:42.071Z

Best For

Who it's for

  • Recruiting teams concerned about AI cheating
  • High-volume technical hiring with compliance needs
  • Organizations requiring tamper-evident interview records

What it does well

  • Verifying candidate authenticity in technical interviews
  • Generating compliance-ready integrity reports for hiring audits
  • Detecting real-time AI assistance during live sessions

Integrations

ATS systems

Discussion Community

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Community Notes & Tips Community

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Frequently Asked Questions

Is InterviewWatch free?
InterviewWatch has a permanent free tier alongside paid upgrades (paid plans from $5 per interview after trial). You can keep using a baseline version indefinitely without paying.
Is InterviewWatch open source?
No — InterviewWatch is a closed-source tool. Source code is not publicly available.
What platforms does InterviewWatch support?
InterviewWatch is available on: Web dashboard and small desktop app for candidates.

Hours Saved & ROI Stories Community

Be the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."

InterviewWatch

AI cheating tools are now venture-backed, fast-moving, and designed to be invisible to the interviewer. InterviewWatch addresses this by running a signed agent on the candidate’s machine — with explicit consent — only for the session window. The agent watches machine-level signals: AI overlay applications running on top of the interview interface, secondary displays, clipboard capture patterns, virtual camera use, and remote access software. These signals feed a live dashboard the interviewer sees in real time, so a flagged AI assistant or a detected second screen surfaces while the conversation is still happening, not in a retrospective review. When the session ends, the agent exits and produces a cryptographically signed integrity report.

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