Glossary

Plain-English definitions, no marketing fog.

The words we use across the Veref platform, the Journal, and our customer conversations, defined so an engineer, a recruiter, or a regulator can read them the same way.

Deepfake interview: A live video interview in which the candidate's face or voice on camera is synthetically generated in real time by face-swap or voice-cloning software, making the person on screen someone other than who they appear to be.
AI interview co-pilot: A tool (browser extension or second device) that transcribes the interviewer's question during a live interview and generates an answer the candidate reads aloud. The candidate on camera is real; every answer is machine-generated.
Veref Passport: A persistent, candidate-owned verification credential issued after a candidate verifies identity with any employer on the Veref network. The candidate carries the Passport across employers, controls access per employer, and can revoke or delete it at any time. Free for candidates forever.
Verified reference: A reference check in which the referee has passed government ID verification, a selfie liveness check, a LinkedIn relationship cross-match, and an employer record check before the questionnaire unlocks. The opposite of traditional email-based reference checks.
Integrity score: A 0-100 score Veref produces in real time during an interview, combining identity match, voice authenticity, deepfake detection, virtual camera status, gaze tracking, and response latency signals. Presented to the recruiter as evidence alongside raw clips and transcripts. Never used for automatic rejection.
Human-in-the-loop: A design principle and EU AI Act requirement. A human decision-maker must be able to review and override the AI system's output before any adverse action is taken against a candidate. Veref never auto-rejects.
Liveness check: An active challenge (usually head turn, blink, or spoken phrase) used to confirm that the person in front of the camera is a real, present human rather than a photograph, a video replay, or a mask.
Virtual camera driver: A system-level software driver (OBS, ManyCam, XSplit, DeepFaceLive, Avatarify) that impersonates a webcam and feeds an arbitrary video stream into applications. Veref blocks known drivers at the device level before the interview joins.
Continuous face match: The process of matching the face on camera against the candidate's verified government ID every few seconds throughout the interview. Detects face-swap and impersonation attacks that happen after the interview starts.
Voice authenticity detection: Analysis of the audio stream for artifacts that indicate voice cloning, text-to-speech synthesis, or replay attacks. Complements video deepfake detection.
Evidence clip: A short auto-captured video clip around a moment when Veref's integrity signals spiked. Presented to the recruiter alongside the score so they can see what Veref saw and make a human judgment.
Identity verification (IDV): The process of confirming a candidate is who they claim to be, typically by scanning a government-issued ID, running an active selfie liveness challenge, and creating a biometric template that can be used to match against the candidate throughout the interview.
Biometric template: A mathematical representation of a face or voice, stored in place of raw images or recordings. Veref stores templates, not raw media, and deletes raw images after the template is extracted.
EU AI Act: European Union regulation that classifies AI systems used in hiring as high-risk and requires human oversight, transparency to candidates, and bias testing. Veref is designed to comply by default: no auto-rejection, full evidence, published bias evaluations.
Candidate-owned verification: A verification model where the candidate (not the employer) holds the verified identity record. The candidate consents to each share, can revoke access, export, and delete. The model that makes the Veref Passport portable across employers.

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