Source-direct intake
Payroll, bank, and biometric ID linked at the source. No PDFs, no self-reports for the data we can read directly.
ChatGPT writes the resume. A diffusion model fakes the paystub. A voice clone passes the screening call. The only way to win is to stop checking what the candidate typed and start reading the source: payroll, bank, and biometric ID — triple-verified.

Synthetic-identity rings now industrialize fake hires: AI-written resumes, deepfake video interviews, voice clones, and AI-generated paystubs. Legacy screening — phone-call HR verification, document upload, photo selfie — is built for a world where the candidate exists. That world is gone.
We don't ask the candidate where they worked — we ask ADP, Workday, Gusto, or their payroll provider. If 'Acme Corp' isn't on their payroll record, we know.
Real income comes from a real bank account, with deposits matching a real employer. AI can't fake a Plaid connection to Chase.
Government ID with NFC chip read where available, plus passive liveness against the chip's photo. Deepfakes don't survive.
Every uploaded paystub, W-2, offer letter, and ID is reviewed by a Claude agent for AI-generation artifacts, font inconsistencies, and metadata tampering.
Optional analysis of recorded screening calls and video interviews for clone, lip-sync, and generative-model artifacts.
Pattern detection across your candidate pool — same template, same address tree, same payroll fingerprint — surfaces organized fraud rings.
Every candidate runs through the same source-direct verification. Synthetic identities can't survive triple-cross-checking against real institutions.
Payroll, bank, and biometric ID linked at the source. No PDFs, no self-reports for the data we can read directly.
Anything the candidate does upload (older paystubs, foreign IDs, diplomas) gets a Claude-powered AI-generation and tampering inspection.
Name, employer, address, and income reconciled across all three sources. Any mismatch surfaces with cited reasoning.
Continuous scan across your candidate pool for repeated templates, shared infrastructure, and synthetic-identity clusters.
North-Korea-linked IT-worker schemes are placing synthetic engineers into U.S. companies. Ethur stops it at payroll-link time.
Repeat applicants with rotating identities and cloned credentials — caught by cross-candidate fingerprinting.
AI-generated diplomas and license numbers verified against issuing source, not against the PDF.
Synthetic seller and driver onboarding stopped before payout, with biometric tied to bank ownership.
Start a free trial in minutes, or get a tailored walkthrough with our team.
Yes — and it does, daily. Modern image and document models produce paystubs that match real templates exactly. The only reliable defense is going to the payroll source directly.
Fall back to document upload + AI forensic review + HR phone verification. Confidence is lower, and you decide your policy per role.
Optional add-on: recorded screening calls and video interviews can be analyzed for voice cloning, lip-sync mismatch, and generative-video artifacts.
The opposite. Source-direct verification clears in minutes, not days. Fraud cases that used to surface post-hire (and trigger lawsuits) are caught at application.
No. Customers using triple-verification report zero successful synthetic hires post-deployment. We publish methodology and case studies under NDA.