Fraud Shield
Anomaly intelligence for detecting unusual transaction patterns across d'BestO operations.
Problem
Operational leakage in a network the size of d'BestO is hard to detect manually — transaction volume is too large, and the patterns worth watching are usually subtle: excessive voids, unusual discounts on certain shifts, small discrepancies that accumulate.
Solution
Fraud Shield ingests transaction data, runs a detection rule library built from audit methodology, and produces anomaly observation reports with an investigation playbook — framed as inspection priorities, not accusations, in line with data protection requirements.
Features
Transaction data ingestion from CSV/Excel
Detection rule library editable without redeployment
Batch orchestration for hundreds of thousands of transactions
Auditor-style PDF reports with an append-only audit trail
Outcome
POC stage with an internal pilot alongside d'BestO. It does not replace audits — it prioritizes what should be examined first.
