Impersonation
A stand-in sits the interview in place of the real candidate.
VivaGuard confirms the enrolled candidate is the one answering, and flags read-aloud or AI-generated answers. It runs entirely on your servers. No candidate audio ever leaves.
“We could never really tell who was answering. Was it AI, a friend standing in, or the candidate reading out AI-generated answers? VivaGuard confirms the enrolled candidate is the one speaking and flags answers that are being read rather than genuinely spoken. And it all runs on our own infrastructure, so no candidate audio ever leaves our environment. We wired it in with a simple API in a few days, and it indeed has strengthened our trust layer.”
Webcams and honor codes don't catch fraud that happens through the microphone — by someone who isn't the candidate, or who isn't really answering.
A stand-in sits the interview in place of the real candidate.
The candidate reads a pre-written or ChatGPT answer aloud instead of thinking.
A helper off-camera feeds lines the candidate simply repeats.
Video watches the screen and room, not who is speaking, or how.
Is this really the enrolled person, and are they genuinely answering? Three steps, in order.
The candidate reads a random sentence in a short, timed window — a liveness step that captures a genuine, live reference voice.
Any later recording is matched against the enrolled voiceprint. Same person or not, with a clear accept/reject and a similarity score.
Scores speech naturalness — disfluencies, pauses, pacing — to tell genuine thinking-aloud from a read or fed answer.
Voiceprint matching plus speech-naturalness analysis — catching stand-ins, read-aloud, and coached answers.
No audio, transcript, or result ever leaves. Zero third-party calls, zero per-call cost.
Docker, CPU-only, fully air-gapped after setup.
Three endpoints and a built-in console. Drop it into any interview or exam workflow.
See VivaGuard run on your own infrastructure. No candidate data leaves your servers.
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