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AI Employee Verification

The resume is AI.
The interview is deepfake.

Pre-hire identity, interview liveness, AI resume forensics, and Day 1 employment verification on one platform.

Book an AI employee verification demoRead the NK IT worker playbook

pre-hire

Candidate risk dossier

Candidate IDV-2048

remote engineering workflow

1

Application

resume generated

2

Interview

video mismatch

3

Offer

identity match

4

Day 1

biometric step-up

Live decision

Candidate risk high

96%

Latency

<60s

Action

Hold

Resume content matches AI-generated employment pattern
Interview video shows liveness and identity mismatch
Day 1 biometric step-up required before provisioning
$0M+

Annual losses to NK IT worker fraud

0%+

AI-generated resume detection accuracy

0%+

Deepfake interview detection accuracy

<60s

Pre-hire verification time

The Landscape

AI-aided hiring fraud now spans the entire candidate journey.

Verify the person, the credentials, the interview, and the Day 1 identity before access is provisioned.

North Korean IT Worker Fraud

DPRK-affiliated workers using stolen US identities to take remote engineering roles. FBI-reported losses exceeding $400M annually.

AI-Generated Resumes

Fabricated resumes from ChatGPT and dedicated resume generators with realistic but fake employment history.

Deepfake Video Interviews

Real-time deepfake video impersonating the candidate during interview, with voice clone overlay.

Synthetic Identity at Hire

Fabricated identity matched with real SSN passing background check at hire.

AI-Aided Reference Fraud

AI-generated fake references with synthesized phone calls confirming employment.

AI Resume Forensics

Detect AI-generated resumes and cross-reference employment claims against The Work Number and ADP.

Deepfake Interview Detection

Real-time deepfake detection during interview, with frame-level forensics plus voice clone detection.

Cross-Stage Identity Match

Continuous biometric match from application photo through interview, offer signing, and Day 1 onboarding.

Continuous Employment Verification

Periodic re-verification post-hire to detect identity swap or coercion patterns.

Examination-Ready Audit Trail

Full evidence chain on every hire decision, aligned to OFCCP, EEOC, and forthcoming AI hiring regulations.

FBI / Treasury OFAC

NK IT worker advisory alignment for security, legal, and compliance teams.

OFCCP

Pre-hire identity verification compliance and documented hiring controls.

EEOC

Bias-tested detection per Uniform Guidelines and documented model release review.

NYC Local Law 144

AI hiring tool audit alignment and exportable decision evidence.

The Pipeline

Four checkpoints. From application to Day 1.

The same identity has to survive the whole hiring journey, not just the background check.

01

Application

AI resume detection, identity verification at application submission, adverse media, and sanctions screening.

02

Interview

Deepfake video detection during interview, voice clone detection, and liveness verification at interview start.

03

Pre-Hire Verification

Government ID verification, education verification, employment verification, and continuous identity match.

04

Day 1 Onboarding

Biometric match against application identity. Verifies the person showing up matches the person who interviewed.

Compliance

Built against the frameworks your hiring program operates under.

The evidence trail is designed for HR, security, compliance, and legal review.

FBI / Treasury OFAC

NK IT worker advisory alignment and documented escalation flow.

OFCCP

Pre-hire identity verification compliance and auditable controls.

EEOC

Bias-tested detection per the Uniform Guidelines, with disparate impact analysis on every release.

NYC Local Law 144

AI hiring tool audit alignment, decision exports, and human review pathways.

Integrations

Plugs into your existing ATS, HRIS, and interview stack.

Drops into the AI stack you already run. Connect the agents, channels, and data systems where verification has to happen — no rip-and-replace.

Who uses it

Built for every hiring program at risk.

Enterprise Tech Company

NK IT worker defense across remote engineering hires, AI resume forensics, deepfake interview detection

Defense Contractor

Cleared-personnel pre-hire verification with continuous employment verification

Financial Services

FFIEC-aligned employee identity verification, deepfake interview defense for compliance roles

Contingent Workforce Platform

Verify gig contractors at platform onboarding with continuous re-verification

Government Agency

Federal pre-hire verification with NK IT worker pattern matching and continuous identity match

Ready when you are

The interview is real. The candidate is not.

Send us a recorded interview. Get back the deepfake detection report and integration spec.

Book a demoNK playbook

Decision record

Evidence attached

Audit trail

Signal chain

Built to fit the workflow you already run.

FAQ

Let's answer your questions.

DPRK-affiliated workers using stolen US identities to obtain remote IT and engineering roles at US companies. Wages flow back to North Korea. The FBI and Treasury have issued multiple advisories. Reported losses exceed $400 million annually.
Pattern matching across multiple signals: geo-routing anomalies on candidate IP addresses, payroll routing patterns to known intermediaries, behavioral fingerprint matches across known operative cohorts, and identity-document forensics aligned to FBI advisories. The detection is continuously updated as new patterns emerge.
95% or higher on production traffic across Zoom, Teams, Meet, and HireVue interview platforms. Detects real-time deepfake video plus voice clone overlay during interviews.
Forensic analysis on resume content, formatting patterns, employment claim cross-referencing against The Work Number and ADP, and generator attribution where the resume was produced by an AI tool. Detection accuracy is 96% or higher on common AI-generated resume formats.
Detection models are bias-tested per the Uniform Guidelines on Employee Selection Procedures. Disparate impact analysis is part of every model release. Continuous monitoring detects fairness drift. Documentation aligned to NYC Local Law 144 audit requirements.
Yes. Detection works across 200+ countries. The NK IT worker detection is specifically tuned for DPRK affiliation indicators. International candidate verification follows local jurisdiction requirements.
The candidate's biometric is captured at application (selfie + ID match), validated again at interview (liveness + match against application), validated at offer signing, and validated at Day 1 onboarding. The same person must show up at every stage.
Per-candidate pricing with enterprise commitments. Most enterprise customers land at $15 to $40 per candidate depending on the verification stack chosen. Volume discounts at 10K+ candidate annual thresholds.