UK Fraud Strategy to Force Faster Intelligence Sharing

The UK Fraud Strategy 2026-2029 will impose new expectations on banks, fintechs, telcos and online platforms to speed intelligence sharing, strengthen identity systems and invest in technology aimed at AI-driven impersonation, deepfakes and crypto-enabled fraud. A webinar on June 9 will preview the strategy’s system-wide approach, ahead of the NextGen FinCrime conference in London on July 8.

Organisers note the strategy moves beyond isolated regulation and asks public and private organisations to detect criminal innovation earlier and coordinate responses more quickly. The webinar will identify the fastest-growing risks in the UK: exploitation of real-time payments, expanding use of synthetic identities, AI-generated impersonation and deepfake social engineering, and new attack methods in crypto and decentralized finance.

Speakers plan to describe what early-warning intelligence looks like in practice. They will argue that pattern analysis across payment flows, digital identity signals, crypto markets and online environments is needed to spot novel criminal behaviour before it causes large-scale harm. Panelists include Robert Eastick, director and crypto lead at iSanctuary, and Dr Roger Miles, a consulting behavioural analyst. Teresa Connors will moderate.

The session will examine why current data-sharing models do not produce timely alerts. Presenters will point to fragmented information flows between banks, fintechs, telcos and platforms, delays from manual reporting, inconsistent data formats and legal or commercial limitations on cross-sector exchange. Those gaps allow suspicious patterns to move across channels without early detection.

Identity systems are a central focus of the strategy. Panelists will describe how synthetic IDs and AI impersonation can bypass legacy checks and outline faster approaches to verification. Topics include broader use of behavioral biometrics, transaction-context real-time verification, tokenisation of identity attributes and tighter linking of identity signals across services to raise detection speed while avoiding extra friction for legitimate customers.

Speakers will detail controls and technologies needed to secure instant payments. The measures discussed include real-time monitoring and risk scoring at the point of payment, anomaly detection that spans channels, defined escalation routes between firms and law enforcement, audit trails designed for sub-second payments and cloud-native fraud platforms that can scale and update models quickly.

The webinar will also cover where digital asset and DeFi risks intersect with anti-money-laundering and fraud obligations. Panelists will address monitoring liquidity flows in crypto markets, tracing cross-chain movements, adapting compliance to decentralised protocols and assessing medium-term risks to cryptography from quantum advances for custodians and payment infrastructures.

Organisers expect the session to map where criminal methods are outpacing controls and where available tools can narrow gaps. Technologies discussed include predictive analytics trained on cross-industry patterns, behavioral biometrics, tokenisation to reduce data exposure and cloud-native platforms for faster deployment of countermeasures. The webinar will present these operational and coordination challenges as preparatory material for the deeper discussions scheduled at NextGen FinCrime on July 8 in London.