Experian has introduced an innovative AI-driven tool called Transaction Forensics, marking a significant advancement in combating fraud and financial crime within the UK banking sector. Launched on April 22, 2026, the solution aims to equip financial institutions with real-time capabilities to identify and stop sophisticated threats that traditional systems often miss.
By integrating cutting-edge behavioral analysis with Experian’s extensive proprietary datasets on consumers and businesses, the platform delivers a comprehensive assessment of risks associated with bank-to-bank transfers.
The rise of artificial intelligence in criminal activities has created new hurdles for the industry.
Fraudsters now deploy AI to orchestrate large-scale attacks at unprecedented speeds, including intricate mule account schemes and deceptive social engineering tactics generated by AI.
Many conventional monitoring tools struggle to keep pace, leading to a widening gap in detection. At the same time, efforts to strengthen defences frequently trigger excessive false alarms, which inconvenience legitimate customers and inflate review costs for compliance teams.
Regulators, including the Financial Conduct Authority, are also emphasising the need for transparent, explainable AI applications to align with broader consumer protection standards.
Transaction Forensics stands out as the first offering of its kind in the market. It merges more than 80 specialized AI models to provide a detailed, layered perspective on every transaction.
Rather than relying solely on isolated signals, the system enriches payment data with Experian’s deep insights into credit histories, identity verification, fraud patterns, and anti-money laundering indicators.
This is combined with real-time behavioral analytics to reveal the underlying purpose of each transfer—whether at the individual transaction level, across a customer’s profile, or for an entire organization.
The tool supports major UK payment networks, including Faster Payments, BACS, and CHAPS, enabling swift scrutiny of high-volume operations.
It excels at flagging complex issues such as authorized push payment scams, money mule operations, and broader money laundering efforts.
Importantly, it is designed to enhance rather than overhaul existing fraud monitoring setups, serving as an optional analytical overlay or focusing resources on higher-risk cases.
Early trials have yielded significant outcomes. Participating organizations reported a 200 per cent improvement in detecting authorized push payment fraud, alongside an 80 per cent drop in false positives and a 50 per cent decrease in overall alerts.
These gains allow teams to concentrate efforts on genuine risks, reducing operational strain while improving accuracy.
Paul Weathersby, Experian’s Chief Product Officer for the UK and Ireland, described the launch as a pivotal development made possible by the company’s data expertise and forward-thinking approach.
He noted that financial providers are grappling with AI-powered threats on a scale never before encountered, and this solution empowers them to respond effectively.
Martin Rehak, CEO of Resistant AI—the firm whose technology powers the behavioral analytics—echoed this sentiment.
He stressed that AI is now indispensable for staying ahead of evolving dangers, and the partnership with Experian’s data resources positions institutions to tackle both present and future challenges.
The development stems from Experian’s strategic investment in Resistant AI in July 2025. Transaction Forensics represents the initial commercial product from this collaboration, with additional innovations expected throughout 2026. UK financial services firms can now access the platform to strengthen their defenses while maintaining improves experiences for honest customers.