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Live interview verification

Verify The Interview Environment While The Interview Is Happening.

InterviewWatch detects live interview fraud by correlating machine-level events: AI assistant activity, suspicious windows, hidden overlays, remote-control tools, clipboard bursts, multi-monitor changes, virtual camera/audio devices, and answer timing patterns.

Integrity signalsTimelinePrivacy boundary
AI assistantHigh
Multi-monitor changeReview
No screen overlaysClear
Risk score68 / 100
Signal coverage

Checks that screen share alone cannot provide.

Screen share shows what a candidate chooses to share. InterviewWatch looks at the system context around the interview and flags conditions that may indicate outside assistance.

AI assistance

Detects AI tools, AI browser activity, local LLM runners, coding assistants, and AI-assistant DNS traces.

Hidden surfaces

Flags screen-share-excluded overlays, suspicious windows, focus changes, and browser knowledge-source activity.

External help

Detects remote-control software, suspicious typing rhythms, clipboard bursts, virtual devices, and monitor changes.

Live timeline

Every signal has timing and context.

InterviewWatch does not reduce a session to a vague suspicion. The report shows when a signal appeared, how serious it was, and what else happened nearby.

AI assistant detectedBrowser AI tool became active during the architecture question.
High
Clipboard burstLarge structured paste occurred after a long pause.
Review
Overlay checkNo screen-share-excluded overlay was present.
Clear

Integrity metadata

InterviewWatch observes process, window, device, focus, clipboard-size, and timing metadata relevant to interview integrity.

No private media recording

The platform does not record screen content, audio, video, eye movement, body movement, or keystroke content.