With an estimated that 3%-5% of global GDP laundered every year, regulations now require commercial and financial entities to “know their customers” and to thoroughly assess, classify and monitor customer transactions for signs of money laundering.
BayesAML analytics provides insurers, banks, casinos and other at-risk entities with a genuine risk-based approach to anti-money laundering. Whether used in connection with new accounts or ongoing customer and transaction monitoring, real-time BayesAML alerts users to suspicious activity and contains a workflow procedure to advise them about the next best steps to take to disprove or confirm suspicions.
BayesAML takes customer assessment and transaction monitoring to a new level and effectively protects against suspicious customers and transactions and their negative effects on solvency and compliance.
