As payments become faster and increasingly real-time, compliance teams face growing pressure to identify and manage risk at the same speed. This webinar explored the challenges of real-time compliance, from
Artificial intelligence reshaped the financial crime landscape, with fraudsters increasingly using AI-powered tools to carry out sophisticated scams, deepfakes and automated attacks. At the same time, advances in AI-driven detection
Dal Sahota of the London Stock Exchange Group discusses the escalating threat of APP fraud, its global impact, and how regulation and technology are driving the response.
While the growth in cross-border payments, driven by globalisation, the rise of faster payment schemes, e-commerce and technological advances, brings undeniable benefits to citizens, businesses and other organisations, it also
AI is revolutionising fraud prevention and business practices, helping payments firms detect suspicious activity and enhance regulatory efficiency. But as AI evolves, so do the tactics of financial criminals which
AI is reshaping the fight against payment fraud, prompting financial leaders to adapt with smarter tools, better data, and cross-sector collaboration.
Payments Association has released a report, “Transforming the UK’s Payments Infrastructure,” proposing a revamp of the UK’s payments. The paper argues that the current system of account-to-account (A2A) payments hinders
The Payments Association’s Cross-Border working group, with the support of Benefactor Payall, has launched its latest report: ‘The impact of APP fraud on cross-border payments’. The whitepaper presents the challenges
The payments and fintech sectors are evolving at breakneck speed in 2024. This rapid change ushers in new technology that brings with it ever-advancing challenges in combating financial crime, where
The Payments Association’s Financial Crime Working Group has created a Glossary of key AI terms for the payments industry. The adoption of Artificial Intelligence (AI) divides opinion and serves to
Key findings from Cifas highlights the rising threat of identity fraud and the need for advanced, collaborative solutions.
AI’s data analysis superpowers are revolutionising financial crime prevention, spotting fraud patterns in real-time, even for small transactions, but good data and industry collaboration are key.
