Case Study: Instituto Nacional do Seguro Social (INSS) achieves rapid fraud detection and streamlined inter‑agency data exchange with ACL Data Analysis

Inss Negotiates A Federal Fraud Detection Program With Acl Solutions

INSS is Brazil’s federal social security agency protecting about 37 million workers and their families and managing the CNIS database (500 million records, with millions of monthly updates). Faced with a new government requirement to determine benefit eligibility quickly, the agency struggled with large, multi‑platform data volumes, the need to detect fraud, errors and prohibited multiple‑job situations, and internal bureaucracy that hindered inter‑agency cooperation.

The Internal Audit team implemented ACL Data Analysis to cross‑reference and convert disparate datasets in real time and to demonstrate irregularities to partner agencies, speeding technical cooperation. As a result, INSS can quickly pinpoint fraud and errors, has stronger controls and seamless data access, has expedited data‑exchange agreements, and now uses ACL daily across audit, HR and business processes to handle growing data volumes.

Instituto Nacional do Seguro Social

João Vieira Filho

Internal Audit Coordinator