genpark-agentic-commerce-synthetic-identity-credit-bureau-sentinel-skill

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Guvenlik Denetimi
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SUMMARY

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).

README.md

Commerce Synthetic Identity Fraud & Tradeline Sentinel Skill

GenPark Official
LinkedIn
MCP Compliant
Zero Dependency

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

🛠️ MCP Tools Exposed

  • screen_synthetic_identity_risk: Analyze credit bureau applicant telemetry (SSN randomization timeline, authorized user tradeline count, velocity) to flag synthetic Frankenstein identities.
  • enforce_synthetic_id_countermeasure: 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:

python -m genpark_agentic_commerce_synthetic_identity_credit_bureau_sentinel_skill.server --test

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