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Every year, billions in public funds and development aid are paid to people who don’t exist. Ghost workers on government payrolls. Fabricated beneficiaries on NGO registries. The problem isn’t new — but until now, the only tools available were manual audits that sample 5% of records and take months to complete. GuardGhost is a disbursement integrity platform that changes this equation. We run a 15-stage fraud detection pipeline across entire beneficiary registries — every record, not a sample — and deliver results in under a minute. Our analysis covers phone sharing clusters, sequential SIM detection, bank account anomalies, name similarity matching, salary distribution analysis, and ML-driven risk scoring with full explainability. For registries that need proof-of-life verification, our Verify module sends SIM-attested USSD challenges directly to beneficiaries’ phones. No smartphone required. No app to download. Works on any handset, in any country. Every finding maps automatically to VERAS, our proprietary disbursement integrity scoring framework, and PEFA PI-23 aligned assessments. Donor programme officers get audit-ready evidence. How to Work With Us For donor institutions and development banks: Deploy GuardGhost as a disbursement condition on grants and investments. We provide registry-level fraud detection and compliance reporting that integrates into your existing fiduciary oversight. Request a briefing or pilot proposal. For government audit bodies and ministries: Scan your entire civil service payroll, pension registry, or social protection list. Full results in under 60 seconds. We work alongside your existing payroll systems, not instead of them. For NGOs and implementing organisations: Demonstrate beneficiary registry integrity to your funders with audit-ready evidence mapped to their compliance frameworks. Platforms: guardghost.com (registry analysis) Get in touch: info@guardghost.com

Website https://guardghost.com
Employees 1 (0 on RocketReach)
Founded 2025
Industry Technology, Information and Internet

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