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Rethinking SAR thresholds for APP scams in the instant era
The rapid expansion of instant payments across Europe has fundamentally altered the fraud landscape, with APP scams emerging as one of the most damaging...
EPC seeks providers for SEPA fraud data-sharing hub
The European Payments Council (EPC) has launched a request for information as it looks to identify potential service providers to build, run and support...
A practical guide to modern fraud detection rules
Fraud losses continue to rise at an alarming pace. In 2024, consumers and businesses reported losing more than $12.5bn to fraud, marking a 25%...
EBA-ECB report shows SCA works but scams keep growing
European regulators have warned that while strong customer authentication has proved effective in reducing payment fraud, criminals are rapidly adapting their methods, driving overall...
Inside the rise of online account farms in fraud
The online fraud economy is evolving rapidly, and at the centre of it lies the growing threat of account farms. These operations have moved...
How banks can outpace fraudsters in real time
Financial institutions are facing unprecedented pressure as payment fraud grows more complex and relentless.
Attack volumes are increasing, schemes are more sophisticated, and the time...
SymphonyAI uses GenAI to tackle payment fraud
SymphonyAI is placing artificial intelligence at the forefront of fraud prevention with its NetReveal Payment Fraud solution, a tool designed to help financial institutions...
Why payment fraud is surging and how to stop it
In early 2025, Block—the parent company of Cash App—agreed to pay up to $255m to settle claims that criminals had used its platform for...
Preventing payment fraud: Onboarding to transaction
Payment fraud prevention has become one of the biggest challenges facing FinTech platforms in 2025.
High-profile cases, such as Cash App’s $255m settlement earlier this...
How SymphonyAI fights fraud using behavioural data
As digital transactions surge globally, financial institutions are seeking smarter ways to protect customers and prevent fraud before it happens. Traditional fraud detection systems, whether rule-based or driven by machine learning, often struggle to keep pace with the sophistication of today’s fraudsters, leading to missed threats or an avalanche of false positives that frustrate legitimate customers.
