Tag: fraud detection

Financial crime has evolved dramatically over the past ten years, yet many of the systems and operating models built to combat it have barely...

Fraud detection built on static rules is starting to show its age. These systems flag transactions simply because they are unusually large, come from...

Insurance houses across South Africa are pouring money into anti-financial crime tools, yet heavy spending alone is not solving the problem. Effectiveness, particularly at...

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

Financial institutions have spent decades building compliance programmes around a simple assumption: risk can be evaluated on a schedule. According to Saifr, that approach once...

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

Banks have long treated fraud and money laundering as separate disciplines, even though the same customer, account or transaction can carry signals relevant to...

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 scheduled review date. A director can change, an address can be updated, or adverse media can emerge,...

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...