Stop fake applicants and identity fraud

Velocity Detection

Flags bot-like application bursts, mass-spray patterns, and mechanically consistent timing intervals that signal automation.

IP Collision Analysis

Detects multiple identities applying from a single IP address — a strong signal of coordinated fraud.

Resume Forensics

Scores content for thin or padded resumes, disposable email domains, duplicated phrasing, and AI-generated language density.

Contact Consistency

Cross-checks the email in the resume against the application email to catch mismatches and impersonation.

Typing Signatures

Builds a keystroke-dynamics signature during assessments and interviews to confirm a consistent author across sessions.

Face Presence Checks

Multi-modal face-presence signals help confirm the candidate taking the assessment is the same one in the interview.

Identity Binding

Links biometric signals across screening, assessment, and interview to detect identity swaps and proxy test-takers.

Combined Fraud Score

Fuses Layer 1 and Layer 2 signals into a single, explainable risk score with evidence for every flag.

Trustworthy candidates, explainable decisions

Every fraud signal comes with a severity, a human-readable detail, and the evidence behind it — so your team can act with confidence and defend decisions.

• Real-time fraud dashboard across all applications
• Per-candidate fraud reports with itemized signals
• Severity levels: critical, high, medium, low
• Designed to reduce wasted interview time on fake applicants
• Works automatically as candidates apply and complete evaluations