UK strategy will force real-time fraud data sharing

The UK Fraud Strategy 2026-2029 will require banks, fintech firms, telecommunications providers and online platforms to share near real-time intelligence to identify synthetic identities, AI-driven impersonation and abuse of instant payment systems, government and industry speakers outlined ahead of a webinar on June 9.

The strategy sets expectations for faster cross-sector information flows that link payments metadata, identity signals and online behavior so suspicious activity can be detected and acted on more quickly. Officials said the goal is to shorten the time between new criminal techniques appearing and a coordinated sector response.

The plan names organisations across banking, fintech, telco and digital marketplaces as responsible actors. Panelists pointed to current data-sharing models that rely on batch reporting, siloed feeds and manual case handling, which they said delay the correlation of signals across channels.

Speakers said criminals are increasingly using generative AI to create synthetic identity artifacts and deepfake audio or video for social engineering, and they are able to manipulate transactions on real-time payment rails in seconds. That speed reduces the window for intervention under existing controls.

Vendors and security teams described available defensive tools, including predictive analytics, behavioral biometrics, tokenization and cloud-native fraud platforms that can shorten detection and response times. Panelists argued that technology must be paired with improved data sharing and governance to translate signals into operational action.

The strategy addresses governance and controls for instant payments, where transactions settle rapidly and reversal options are limited. The document discussed measures such as stronger identity verification, real-time risk scoring and transaction throttles, while noting firms will need investment and clearer regulatory expectations to maintain customer convenience and economic activity.

Emerging risks in crypto and decentralized finance were discussed as intersecting with mainstream anti-money-laundering and fraud obligations. Panelists highlighted that on-chain activity, cross-border liquidity pools and automated smart contracts can create novel laundering channels that operate alongside bank transfers and card payments. Quantum-accelerated threats were raised as a future risk to cryptography and transaction integrity, prompting calls for scenario planning.

Speakers identified operational gaps that still prevent earlier intervention, including legal and privacy constraints on data sharing, inconsistent data standards and a lack of common telemetry across sectors. Regulators indicated they will design rules for safe, timely intelligence exchange and support pilots of cross-industry platforms.

Panelists recommended firms invest in governance for shared feeds, define thresholds for automated alerts and set escalation paths with law enforcement and industry bodies. The webinar served as an early briefing ahead of a broader conference on July 8 in London, where detailed policy proposals and industry responses will be discussed.