Tag: fraud detection

Artificial intelligence is no longer limited to automating simple, repetitive compliance and risk tasks. Across financial services, firms are increasingly using AI to conduct...

For decades, financial institutions built their compliance programmes on one core assumption: risk could be assessed on a schedule. According to Saifr, customer due diligence...

Automated decisioning is the use of predefined rules, data integrations and scoring models to evaluate an application, transaction or identity check, returning an approve,...

Financial institutions have long treated fraud and anti-money laundering (AML) as separate disciplines, run on separate timelines by separate teams. Fraud detection demands split-second...

Financial crime is growing more sophisticated, and compliance teams that still rely on disconnected fraud and AML systems risk falling behind both fraudsters and...

Customer risk does not wait for a calendar. Between one scheduled KYC review and the next, a director can be replaced, a beneficial owner...

Banks could unlock productivity gains of up to 20 times by deploying a workforce of AI agents, according to McKinsey.   The consultancy's estimate rests...

Edge, the cashflow bureau that converts bank transaction data into explainable, machine learning-driven scores for lending and rental screening, has announced a new partnership...

Malaysia's anti-money laundering and counter-terrorism financing (AML/CTF) regime hit a defining moment in early 2026, when the Financial Action Task Force (FATF) upgraded the...

South Africa loses an estimated R100bn a year to financial crime, yet the institutions meant to stop it still work in silos. Organised crime...