Experian has deployed a significant advancement in fraud prevention with the launch of Transaction Forensics, a real-time AI system designed to combat authorised push payment (APP) fraud and AI-generated document fraud across UK financial services. The solution combines Resistant AI's behavioural analytics capabilities with Experian's proprietary data assets, leveraging over 80 AI models to identify suspicious payment patterns and fraudulent instructions at the point of bank-to-bank transfer. This represents a material escalation in the sophistication of fraud detection available to FCA-regulated firms.

The strategic timing of this deployment reflects evolving regulatory pressures around APP fraud, which the FCA has identified as a priority area for consumer protection under the Consumer Duty regime (PS22/9). APP fraud losses continue to escalate as criminals exploit social engineering and AI-generated deepfakes to authorise fraudulent transfers. By embedding behavioural analytics directly into payment authorisation workflows, Transaction Forensics addresses a specific vulnerability: the window between customer instruction and fund transfer, where traditional static rules fail to catch novel attack vectors. The system's ability to detect AI-generated documents is particularly significant as fraudsters increasingly deploy generative AI to fabricate invoices and payment instructions.

For FCA-regulated financial institutions, deploying Transaction Forensics aligns with SYSC (Senior Management & Certification Regime) governance obligations around operational resilience and financial crime prevention. The FCA's Consumer Duty expectations require firms to take reasonable steps to prevent harm, and fraud prevention systems represent a foundational element of that obligation. Institutions using the platform must nonetheless maintain responsibility for model outputs: the FCA's AI Roadmap (2023) and emerging guidance emphasise that firms cannot delegate governance to third-party vendors and must conduct independent testing of fraud detection accuracy, bias and explainability.

The Experian deployment signals market recognition that generic AI models are insufficient for financial crime prevention; domain-specific behavioural analytics, coupled with financial data expertise, are now table stakes for UK banking. However, regulatory scrutiny of third-party AI procurement is intensifying—the FCA's Consumer Duty supervision has identified instances where firms inadequately tested vendor systems before deployment, creating hidden risk. Trovix relevance: Trovix Audit provides FCA-regulated firms with systematic frameworks to validate third-party AI systems like Transaction Forensics, including independent testing of fraud detection accuracy, bias assessment and regulatory compliance documentation—ensuring vendor deployments meet SYSC governance standards and Consumer Duty expectations.