From mainstream chatbots to purpose-built interview assistants.
The goal is not to chase a single brand name. InterviewWatch pairs built-in signatures with a remotely updateable tool catalog, so new AI assistants are covered without waiting for an agent redeploy.
AI chat & search
Web assistants detected by window title and browser context during the session.
Coding assistants & local LLMs
Developer AI and offline model runners that leave no network trace but run as processes.
Stealth interview helpers
Purpose-built answer tools, hidden overlays and browser-extension assistants that inject answers.
Four independent surfaces, one reviewable finding.
No single signal convicts. The agent watches four separate surfaces on a two-speed loop, a fast 2-second loop for window and title changes, a slow 5-second loop for processes and DNS, then correlates what fires together into a scored incident.
A process hit alone is context; a process hit plus a matching window title plus an answer burst is a strong, correlated finding.
Each surface has a different strength.
The strongest evidence is a known AI process or window title. DNS is a supporting signal; timing adds context. InterviewWatch weights them accordingly instead of treating every hit the same.
What the call shows vs. what the machine knows.
A candidate can share a single clean window while an assistant runs on a second monitor, a phone, or a capture-excluded overlay.
The AI process, the browser tab title, the extension's DNS lookup, and the timing gap, regardless of what is shared.
Slow, subjective, and easy to defeat with off-camera help.
Objective, timestamped, and delivered as evidence in the final report.
Metadata, not content
Detection uses tool presence, window titles, DNS lookups, event timing, and clipboard size and source. It does not capture what the candidate types, sees, or says.
No recording, no surveillance
No screen, audio or video recording. No eye or body tracking. No automatic rejection, every finding goes to a human with context.
AI detection questions, answered.
Can InterviewWatch detect ChatGPT during an interview?
Does it read what the candidate types?
Can it detect local LLMs that run offline?
How does it keep up with new AI tools?
What if our team allows AI tools?
See AI assistance the way the machine sees it.
Add objective, timestamped AI-tool evidence to your remote interviews, without recording a single pixel of the candidate's screen.
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