Our latest webinar shows how Thredd’s unified platform gives fintechs a smarter, faster way to monitor—and stop—fraud in its tracks.
The Thredd team
Payment scams are rising, but more importantly, they are changing. Fraudsters are getting faster, more sophisticated, and more patient, often grooming victims for months before a single transaction takes place. From romance scams and investment fraud to authorised push payment (APP) attacks, today’s threats are testing even the most advanced fraud strategies.
Scams such as APP fraud are among the fastest growing threats in the payments ecosystem. Globally, APP losses are projected to reach $7.6 billion by 2028. In the United Kingdom alone, reported losses surpassed £450 million last year, with investment scams up 34 percent. But what sits beneath those numbers is a shift in the type of fraud taking place.
As one senior fraud leader explained, the industry has moved from third party compromise to first party and socially engineered fraud. Fraudsters are no longer breaking into accounts; they are manipulating genuine customers into authorising payments themselves.
Traditional fraud operations often separate teams by product, one group for cards, another for account to account payments, and yet another for AML. This model no longer works.
Fintechs now recognise the growing need for convergence, sometimes called FRAML, where fraud and financial crime monitoring operate side by side. The benefits go beyond compliance: a joined up view of risk allows teams to spot patterns that isolated systems miss.
Our Scam Transaction Monitoring solution, known as STM, brings card, payment, and login data together within a single, unified platform. It eliminates the need to switch between systems and provides one consistent source of truth.
Fraud teams can:
The result is a faster and more efficient way to identify suspicious behaviour, act before funds leave the account, and reduce the impact of scams on both customers and internal resources.
While technology has advanced, effective fraud prevention still relies on people who understand risk at a fundamental level. As our fraud leaders explained, automation is only powerful when it is built on experience.
Machine learning can detect subtle anomalies once enough data is available, but new typologies require human judgment. Fraud teams must have the flexibility to build rules in real time and the control to review outcomes with transparency and accountability.
That is why STM has been designed with explainability in mind. Every decision can be traced, challenged, and improved. This ensures that artificial intelligence works in partnership with expert analysts rather than replacing them.
Fraud should not be solved by adding more people to manage manual reviews. The future lies in smarter systems that empower analysts to focus on high value cases while automation handles the rest.
Scammers are agile, and the only way to stay ahead is with technology that moves faster than they do.
The Thredd team
October 15, 2025
The Thredd team
August 05, 2025
The Thredd team
July 14, 2025
The Thredd team
July 02, 2025
