Verify Candidate Identity Across Every Session
Remote hiring fraud happens when candidates send a stand-in to assessments or interviews. ClarityHire's multi-signal verification catches identity fraud — with evidence.
Face continuity
Event capture
Off-screen detection
Session-level trail
Multi-layered identity verification
Face, keystroke, gaze, and session-level signals — in one platform.
Face continuity
Computer vision-based face-presence detection confirms the same person throughout every session.
Keystroke event capture
Keystroke timing analysis detects anomalies that indicate proxy test-takers.
Gaze analysis
Detect off-screen reading patterns during coding tasks and interviews.
Tab-switch tracking
Frequency and duration of tab switches correlate with external help or stand-ins.
Full session recording
Every keystroke, camera frame, and output captured for post-hoc audit.
Token-protected invites
Each candidate gets a unique, revocable link — no account sharing.
Per-signal authenticity score
Every session gets a score per signal so you see exactly where signals diverge.
Audit logging
Every action, flag, and reviewer decision logged for compliance and review.
Why teams pick ClarityHire for this
Real workflow, built-in integrity, end-to-end pipeline — in one platform.
One signal fails; multiple signals catch it
A motivated fraudster can bypass one signal. ClarityHire layers face, keystroke, gaze, tab-switch, and session recording — fraud attempts surface even when individual signals are spoofed.
- Face match via computer vision across every session
- Keystroke timing analysis
- Session recording for audit trail
Every signal, every session
Keystroke event capture, face-presence detection, gaze analysis, and code coherence AI run silently throughout every assessment. Every signal feeds a per-candidate authenticity score you can review or automate on.
- Ten signal types including keystroke events, gaze, face-presence, paste events
- Per-signal authenticity score per submission
- Human-readable explanations on every flag
One platform, not five tools
Job boards, assessments, live video interviews, candidate tracking, structured feedback, and PDF reports — all in ClarityHire. Stop paying for five vendors.
- Replaces ATS + assessment + interview + proctoring
- Kanban pipelines with stage automations
- PDF hiring reports for stakeholders
How it works
Enable identity verification
Set integrity level per assessment. No browser extensions required.
Reference capture at session start
Face embedding + keystroke baseline captured during warm-up questions.
Signals run continuously
Face + keystroke + gaze + tab-switch monitored throughout the session.
Flags with evidence
Any divergence gets flagged with evidence links to session replay.
Frequently asked questions
Can I catch if someone else takes the candidate's test?+
Yes. Face continuity catches different faces. Keystroke event capture catches different typing patterns. Gaze and tab-switch signals catch remote assistance. Together they're hard to beat.
What happens if a candidate's face isn't detected at one frame?+
Occasional occlusion is fine. The system tracks continuity over the full session, not frame-by-frame. Repeated or suspicious absence gets flagged.
Is this GDPR compliant?+
Yes. Webcam snapshots and keystroke events are retained per your policy and deletable on request. GDPR data export and deletion workflows are built in.
Do I need a government ID check?+
Optional. ClarityHire can integrate with ID-verification providers for roles that require formal ID matching, but face continuity + biometrics is sufficient for most hiring.
Can I review flags manually?+
Always. Every flag includes evidence and a natural-language explanation. Human in the loop, always — no automatic rejections.
Explore related features, roles, and use cases
ClarityHire is one platform. Every feature is built to work with the rest.
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Computer vision-based face-presence detection across sessions.
Keystroke Event Capture
Keystroke timing analysis for integrity verification.
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Detect ChatGPT Cheating
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Stop Hiring People You've Never Actually Met
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