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1cture, criminals increasingly rely on social engineering, tricking customers into authorising payments themselves."}),(0,a.jsx)("p",{children:"Unlike card payments, where chargebacks are possible, Faster Payments typically settle within seconds. This means post-transaction monitoring is no longer enough . Fraud prevention must happen before the payment is released, often in real time."}),(0,a.jsx)("p",{children:"At the same time, research shows that fraud rates per transaction on real-time rails are not necessarily higher than legacy methods such as cheques. However, the impact of fraud is more severe due to the lack of reversibility, making prevention critical."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"How UK fintechs are adapting their fraud strategies:"}),(0,a.jsxs)("p",{children:["To meet these challenges, UK fintechs are moving away from static, rule-based systems and towards"," ",(0,a.jsx)("strong",{children:"real-time, intelligence-led decisioning"}),"."]}),(0,a.jsxs)("div",{style:i,children:[(0,a.jsxs)("div",{style:e,children:[(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(r.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Behavioural analytics"})]}),(0,a.jsx)("div",{style:f,children:(0,a.jsx)("p",{style:b,children:"Behavioural monitoring has become a core defence. Systems analyse how a customer normally behaves — including device usage, location, timing, and transaction history."})})]}),(0,a.jsxs)("div",{style:e,children:[(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(c,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"AI and machine learning"})]}),(0,a.jsx)("div",{style:f,children:(0,a.jsx)("p",{style:b,children:"AI-powered fraud tools can analyse thousands of data points in milliseconds, helping firms identify suspicious transactions before funds are sent."})})]}),(0,a.jsxs)("div",{style:e,children:[(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(o.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Risk-based controls"})]}),(0,a.jsx)("div",{style:f,children:(0,a.jsx)("p",{style:b,children:"Risk-based controls allow low-risk payments to proceed seamlessly, while higher-risk transfers trigger step-up checks such as additional authentication."})})]})]}),(0,a.jsx)("p",{children:"For example, if a customer who usually makes small domestic transfers suddenly initiates a high-value payment to a new payee, the system can instantly raise the risk score and apply additional controls."}),(0,a.jsxs)("p",{children:["Industry research shows that a majority of UK payment providers now use or are actively deploying"," ",(0,a.jsx)("strong",{children:"machine learning models"})," to detect APP fraud and account takeover attempts. These models continuously learn from new fraud patterns, making them more effective than traditional rules."]}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Risk-based controls"}),(0,a.jsx)("p",{children:"Crucially, fintechs are careful not to slow down every transaction. Risk-based controls allow low-risk payments to proceed seamlessly, while higher-risk transfers trigger step-up checks such as additional authentication, warnings, or cooling-off prompts."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Fraud prevention as part of the customer journey"}),(0,a.jsx)("p",{children:"One of the biggest shifts in the UK market is recognising that fraud prevention must be built into the payment experience itself."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Confirmation of Payee and scam warnings"}),(0,a.jsxs)("p",{children:["The UK’s ",(0,a.jsx)("strong",{children:"Confirmation of Payee (CoP) service"})," ","has become a key fraud prevention measure, helping customers verify recipient details before sending money. Studies show that CoP has significantly reduced misdirected payments and certain scam types."]}),(0,a.jsxs)("p",{children:["In addition, many banks and fintechs now display"," ",(0,a.jsx)("strong",{children:"real-time scam warnings"})," when customers attempt high-risk payments. Simple prompts such as “We’ve seen scams like this before” have been shown to materially reduce fraud losses by encouraging customers to pause and reconsider."]}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Customer education"}),(0,a.jsx)("p",{children:"UK fintechs and MSBs are also investing heavily in customer education. Awareness campaigns explaining impersonation scams, fraud, and investment scams help customers recognise red flags before authorising a payment."}),(0,a.jsx)("p",{children:"In a real-time system, an informed customer is one of the strongest lines of defence."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Collaboration and shared intelligence in the UK ecosystem"}),(0,a.jsx)("p",{children:"Fraud prevention in the UK is increasingly collaborative. Banks, fintechs, payment service providers, and ID verification firms share intelligence on:"}),(0,a.jsxs)("div",{style:i,children:[(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(d.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Mule account indicators"})]})}),(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(h,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Emerging scam patterns"})]})}),(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(m.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Suspicious devices and behaviours"})]})})]}),(0,a.jsx)("p",{children:"For MSBs operating under FCA supervision, access to shared fraud intelligence supports both regulatory compliance and safer scaling across payment corri

1dors."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Regulation is raising expectations"}),(0,a.jsxs)("p",{children:["Regulatory pressure in the UK is intensifying. From"," ",(0,a.jsx)("strong",{children:"October 2024"}),", new APP reimbursement rules require payment providers to reimburse victims of eligible APP fraud in most cases. This has significantly raised the bar for preventative controls."]}),(0,a.jsxs)("p",{children:["As a result, fraud is now a ",(0,a.jsx)("strong",{children:"board-level issue"})," ","for UK fintechs. Firms are increasing investment in monitoring, governance, and technology to demonstrate that reasonable steps were taken to prevent fraud before payments were executed."]}),(0,a.jsx)("p",{children:"Regulators are clear: faster payments must not come at the expense of customer protection."}),(0,a.jsx)("br",{}),(0,a.jsx)("h4",{children:"Looking ahead"}),(0,a.jsxs)("p",{children:["Real-time payments will continue to dominate the UK payments landscape. To manage fraud effectively, controls must become",(0,a.jsx)("strong",{children:" smarter, faster, and more adaptive"}),"."]}),(0,a.jsx)("p",{children:"The future lies in:"}),(0,a.jsxs)("div",{style:i,children:[(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(g.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Intelligent, real-time fraud detection"})]})}),(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(p.A,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"AI-driven risk scoring"})]})}),(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(y,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Seamless customer warnings and education"})]})}),(0,a.jsx)("div",{style:e,children:(0,a.jsxs)("div",{style:s,children:[(0,a.jsx)("div",{style:l,children:(0,a.jsx)(u,{size:40,style:x})}),(0,a.jsx)("span",{style:j,children:"Strong collaboration across the ecosystem"})]})})]}),(0,a.jsxs)("p",{children:["In a world where payments are instant and often final,"," ",(0,a.jsx)("strong",{children:"trust is more important than ever"}),". UK fintechs and MSBs that protect customers while keeping payments fast and frictionless will lead the way in secure, modern financial services."]})]})}),(0,a.jsx)(n.A,{})]})}),(0,a.jsx)("div",{className:"cs-height_140 cs-height_lg_80"})]})})}},89123:(e,s,i)=>{i.d(s,{A:()=>a});let a=(0,i(78340).A)("chart-column",[["path",{d:"M3 3v16a2 2 0 0 0 2 2h16",key:"c24i48"}],["path",{d:"M18 17V9",key:"2bz60n"}],["path",{d:"M13 17V5",key:"1frdt8"}],["path",{d:"M8 17v-3",key:"17ska0"}]])}}]);