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Product overview

AI Screening And Interview Integrity In One Hiring Workflow.

InterviewWatch screens candidates before recruiter time is spent, recommends the strongest applicants for the next round, and verifies live interviews with machine-level signals that catch AI tools, hidden overlays, remote-control software, suspicious clipboard activity, device changes, and timing patterns.

AI screening Live verification AI tool detection Cheating tool guide
72Final score
Screen fit87 / 100
AI assistantHigh
Integrity risk68 / 100
DecisionReview
How the platform works

From applicant pool to verified interview.

The product connects three jobs that hiring teams usually handle separately: first-round screening, live interview verification, and a reviewable report after the session.

01Candidate appliesResume and role context enter the workflow.
02AI screenAI-led Q&A evaluates role fit and communication.
03ShortlistRecruiters see best-fit candidates first.
04Live verifySignals detect AI assistance and interview fraud.
05Final reportScores, risk, and timeline support human review.
Product areas

Detailed pages by service.

Each page targets a specific buying question and search intent, from AI screening to detecting interview cheating tools.

AI candidate screening

Run first-round Q&A, score candidate answers, and recommend who should move forward.

Live interview verification

Monitor machine-level integrity signals during Zoom, Teams, Meet, or other live interviews.

AI tool detection

Detect ChatGPT-style tools, local LLM runners, coding assistants, AI browser activity, and stealth interview helpers.

Hidden overlay detection

Identify screen-share-excluded windows and overlay tools built to stay invisible on calls.

Remote-control detection

Flag AnyDesk, TeamViewer, RDP, and proxy-interview patterns that indicate outside control.

Virtual device detection

Detect virtual cameras, audio routers, voice manipulation tools, and mid-interview device changes.

Clipboard paste detection

Review large or structured paste events without reading clipboard content.

Typing pattern detection

Flag uniform typing, injected input, and pause-then-burst answer timing.

Multi-monitor detection

Record display baselines and detect monitors added or removed during the interview.

Knowledge-source detection

Surface search, docs, Stack Overflow, GitHub, and coding-site activity during live rounds.

What InterviewWatch observes

  • AI tools, browser AI tabs, local LLM apps, and AI-assistant DNS traces.
  • Hidden overlays, screen-share-excluded windows, and suspicious window activity.
  • Remote-control tools, focus changes, clipboard bursts, and answer timing patterns.
  • Virtual camera/audio devices, monitor changes, camera changes, and audio-device changes.

What InterviewWatch avoids

  • No eye tracking or movement tracking.
  • No screen, audio, or video recording.
  • No keystroke content capture.
  • No automatic rejection without human review.