Argentina court orders pretrial detention for Buenos Aires provincial official accused of laundering money from illegal gambling

A La Plata court has ordered the pretrial detention of Albertina Mangini, a Buenos Aires provincial official accused of helping a network steal personal data and open bank accounts to launder proceeds from illegal activity. For PSPs and acquiring teams, the case is a clean reminder that mule accounts, smurfing, and stolen identities remain a working model, not a museum piece.

1. The judge of guarantees in La Plata, Agustín Crispo, confirmed pretrial detention for Mangini and two other defendants linked to a network allegedly involved in clandestine gambling and money laundering through stolen digital identities. According to the judicial theory, the scheme moved up to 27.000 millones de pesos.
2. Prosecutor Betina Lacki is examining evidence that points to a hierarchical structure using smurfing to launder funds and break suspicious bank transactions into smaller pieces. In plain terms, the goal was to stay below automated alerts in banking and financial systems.
3. Mangini, a former agent of the provincial Public Prosecutor’s Office who was later moved to a managerial role at the Buenos Aires government’s Patronato de Liberados, is said to have been responsible for collecting biometric data from vulnerable people. The agency supervises former prisoners after they complete their sentences; the text says there are more than 48,000 people in that status in the province.
4. According to the case file, Mangini met supervised individuals who came to sign in at the Patronato office, checked that they were “clean in AFIP,” and then offered amounts close to 80,000 pesos in exchange for their personal data and for opening bank accounts or virtual wallets. The meetings allegedly took place at a bar across from the La Plata criminal courts building, at 7 and 57.
5. Another defendant, Mauro Perrotta, a merchant and owner of the Red Line gyms, was also placed in pretrial detention. Investigators say he had operational control of an illegal gambling panel identified in the accounts by the decimal suffix .12, and that he managed the “mule accounts” used as both collection desks for bets and chip sales and as payout accounts for prizes and a 27% commission to suppliers.

The practical takeaway for high-risk payment providers is straightforward: illegal gambling and laundering operations can rely on ordinary-looking retail and personal accounts, plus recruited nominees whose data are harvested through social engineering. When that happens, the payment flow can look fragmented enough to pass first-line controls until the whole structure gets mapped.