The financial services industry faces an accelerating threat: fraudsters are now deploying AI to generate convincing fake documents and orchestrate sophisticated account takeover schemes. Experian's newly launched Transaction Forensics represents a substantive response, combining 80 AI models with proprietary data assets to detect fraud and money laundering risks in real time across bank-to-bank payments.
The solution, developed in partnership with Resistant AI, targets the specific fraud vectors that UK regulators have flagged as emergent threats. Authorised Push Payment (APP) fraud—where customers are socially engineered into transferring funds to fraudsters—remains endemic in UK banking, with the FCA and Payment Systems Regulator maintaining intense scrutiny of prevention measures. Transaction Forensics addresses this by applying behavioural analytics to identify anomalous payment patterns and document authenticity risks, including those created by generative AI systems. For compliance teams managing regulatory obligations under the Money Laundering Regulations 2017 and Proceeds of Crime Act 2002, the solution offers a scalable way to meet heightened suspicious activity reporting thresholds.
The deployment of machine learning at scale in fraud detection reflects a broader industry recognition: legacy rules-based systems are outpaced by the sophistication of fraud networks. However, the introduction of 80 discrete AI models across a payment transaction pipeline creates its own governance challenge. Financial institutions deploying such systems must ensure they can articulate how each model operates, why decisions are made, and how bias is monitored—requirements implicit in the FCA's principles-based approach to fairness and transparency. Tools such as Trovix Audit enable compliance and risk teams to maintain comprehensive visibility over AI systems in production, documenting model lineage and decision drivers in ways that satisfy both internal governance and regulatory expectations.
For general counsel and compliance officers, the Transaction Forensics launch signals that AI-enabled fraud prevention is no longer optional. Early adoption by tier-one UK banks will create competitive and reputational pressure for the broader market. The risk, conversely, is that firms deploying such systems without robust governance frameworks—particularly around transparency, fairness and human oversight—may find themselves exposed to regulatory action or consumer complaints under the FCA's Consumer Duty framework.
Source: Experian plc