AI coding assistance
Detect browser AI, desktop AI tools, local LLM runners, copilots, and purpose-built interview assistants that can answer live questions.
Proxy and remote control
Flag AnyDesk, TeamViewer, RDP, Chrome Remote Desktop, and patterns that suggest another person is helping drive the session.
Paste patterns
Review large or structured paste events, especially from a known AI source, without reading clipboard content.
Distinguish legitimate coding behavior from high-risk assistance.
Switching between the meeting app, IDE, terminal, and allowed docs may be normal. Hidden overlays, AI answer tools, remote input, and unexplained paste bursts are different signals.
IDE, terminal, test runner, meeting app.
AI assistant tab, hidden overlay, remote-control process, large structured paste.
Docs or Stack Overflow during an explicitly open-book round.
Purpose-built interview assistant active during a closed-book live interview.
Technical hiring needs both skill signal and integrity signal.
Before the interview
Set expectations for allowed tools, allowed docs, and interview rules, then capture candidate consent for metadata-only monitoring so the live round starts on clear terms.
After the interview
Review candidate performance alongside the integrity timeline. If risk is elevated but skill appears strong, run a targeted follow-up rather than relying on guesswork.
Technical hiring questions.
Can this work for open-book interviews?
Does InterviewWatch read code typed by the candidate?
What happens when an alert fires?
Protect technical interviews without recording the candidate's screen.
Detect AI assistance, proxy help, paste bursts, and hidden overlays with metadata-only integrity signals.
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