Synthetic identity theft (Frankenstein ID) detection, SSN issuance year vs. DOB mismatch scoring, piggybacking tradeline anomaly auditing, and BNPL credit application gatekeeper. Built for GenPark (ht
Commerce Synthetic Identity Fraud & Tradeline Sentinel Skill
Synthetic identity theft (Frankenstein ID) detection, SSN issuance year vs. DOB mismatch scoring, piggybacking tradeline anomaly auditing, and BNPL credit application gatekeeper. Built for GenPark (https://www.genpark.ai).
🌐 Official Channels - Official Website: https://www.genpark.ai - LinkedIn Page: https://www.linkedin.com/company/92955550
🛠️ MCP Tools Exposed - screensyntheticidentityrisk: Analyze credit bureau applicant telemetry (SSN randomization timeline, authorized user tradeline count, velocity) to flag synthetic Frankenstein identities. - enforcesyntheticidcountermeasure: Enforce e-KYC step-up authentication (SSA-89 Social Security direct consent match, physical utility bill verification).
🚀 Installation & Usage Run directly with pure Python standard library:
From the project README.
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Synthetic identity theft (Frankenstein ID) detection, SSN issuance year vs. DOB mismatch scoring, piggybacking tradeline anomaly auditing, and BNPL credit application gatekeeper. Built for GenPark (ht
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