Deep-investigative review of your applicant pipeline. I personally verify the identity, employment history, and risk profile of candidates you flag for closer examination — catching what your ATS, your background check vendor, and your ID verification tools cannot.

What corporations are struggling with:

• North Korean IT workers infiltrating Western engineering teams under stolen identities

• Proxy interview fraud — one person passes the technical screen, a different person shows up on day one

• AI-generated resumes, cover letters, and interview answers that defeat traditional screening

• Identity theft applicants using real people’s credentials, photos, and employment history

• Money mule recruitment into AP, treasury, and executive-support roles — BEC fraud from inside the building

• Voice-cloning and deepfake video interviews that pass live video screens

What I’ll do per candidate:

• LinkedIn profile authenticity verification — using the same methodology that produced 54,210 fraudulent-job takedowns and 7,000+ fake-profile removals

• Cross-platform identity consistency check across LinkedIn, GitHub, X, public records, prior employer footprints

• Employment history validation — confirming the candidate worked where they claim, in the role they claim, during the dates they claim

• Photo and document forensic review for AI generation, image reuse, and known fraud-pattern markers

• Pattern matching against documented fraud-operator typologies (Talentify network, Panzer network, North Korean IT worker indicators, money-mule recruitment patterns)

• Risk scorecard with confidence interval and specific red flags identified

Deep-investigative review of your applicant pipeline. I personally verify the identity, employment history, and risk profile of candidates you flag for closer examination — catching what your ATS, your background check vendor, and your ID verification tools cannot.

What corporations are struggling with:

•        North Korean IT workers infiltrating Western engineering teams under stolen identities

•        Proxy interview fraud — one person passes the technical screen, a different person shows up on day one

•        AI-generated resumes, cover letters, and interview answers that defeat traditional screening

•        Identity theft applicants using real people’s credentials, photos, and employment history

•        Money mule recruitment into AP, treasury, and executive-support roles — BEC fraud from inside the building

•        Voice-cloning and deepfake video interviews that pass live video screens

What I’ll do per candidate:

•        LinkedIn profile authenticity verification — using the same methodology that produced 54,210 fraudulent-job takedowns and 7,000+ fake-profile removals

•        Cross-platform identity consistency check across LinkedIn, GitHub, X, public records, prior employer footprints

•        Employment history validation — confirming the candidate worked where they claim, in the role they claim, during the dates they claim

•        Photo and document forensic review for AI generation, image reuse, and known fraud-pattern markers

•        Pattern matching against documented fraud-operator typologies (Talentify network, Panzer network, North Korean IT worker indicators, money-mule recruitment patterns)

•        Risk scorecard with confidence interval and specific red flags identified

Deliverables per candidate:

•        Investigation report (PDF) with executive summary and detailed findings

•        Risk score: Low → Medium → High → Critical, with the specific evidence behind each tier

•        Clear recommendation: Proceed / Proceed with additional verification / Decline

•        Screenshots and evidence archive supporting every flag raised

•        24–48 hour turnaround on standard cases; rush available

Pricing:

• Single candidate (standard): $1,500

• Bundle of 5 candidates: $6,000 ($1,200 each)

• Bundle of 10 candidates: $10,000 ($1,000 each)

• Bundle of 25 candidates: $20,000 ($800 each) — enterprise rate

• Rush 24-hour turnaround: $3,000 per candidate

• Executive / C-suite candidate review: $3,500 per candidate

What makes this different:

•        Human pattern recognition. ATS systems, background-check vendors (HireRight, Checkr), and ID verification tools (Persona, Jumio, Onfido) catch what is catchable by automation. They miss what is designed to defeat automation. I catch what they miss.

•        Built on real fraud-operator pattern data. 54,210 takedowns of upstream fake-employer fraud means I know exactly what the downstream fake-candidate fraud looks like — the same operators run both sides.

•        Direct deliverable. No portal, no dashboard, no integration project. You send the candidates. I send the report. You make the decision.