{"id":4996,"date":"2026-03-12T14:52:42","date_gmt":"2026-03-12T12:52:42","guid":{"rendered":"https:\/\/relycomply.com\/?p=4996"},"modified":"2026-03-12T14:56:18","modified_gmt":"2026-03-12T12:56:18","slug":"relycomply-at-moneylive-2026","status":"publish","type":"post","link":"https:\/\/relycomply.com\/en-gb\/relycomply-at-moneylive-2026\/","title":{"rendered":"RelyComply at MoneyLIVE 2026: AI, fraud, and the future of financial crime"},"content":{"rendered":"\n

Last year, we made our debut at MoneyLIVE Summit<\/a> as part of StartUp City – and walked away with the award for Best Use of Emerging Technology<\/a><\/strong>. This year, we returned with even bigger ambitions: as a Gold Sponsor<\/strong>, hosting a thought-leading panel and creating an interactive experience at our stand that drew the biggest crowds and sparked insightful conversations.<\/p>\n\n\n\n

How AI has turned fraud into a fully automated economy<\/strong><\/h2>\n\n\n\n
\"MoneyLIVE<\/figure>\n\n\n\n

Panel highlights: <\/h3>\n\n\n\n

Our panel, featuring our CEO, Bradley Elliott<\/a>,<\/strong> and  Rish Tandapany (COO, Purple Group)<\/a><\/strong> and Leon Ifa<\/a>y<\/a>emi (Director of Coalitions and Research at CFIT)<\/a><\/strong>, explored how AI is reshaping fraud and financial crime, effectively creating the first automated economy of fraud. Key trends emerged from the discussion:
<\/p>\n\n\n\n

1. AI is accelerating the scale and speed of fraud<\/strong> <\/h3>\n\n\n\n

Fraud is no longer limited by human capacity. Generative AI allows fraudsters to execute hundreds of thousands of attempts in minutes<\/strong>, from identity manipulation to phishing campaigns. Techniques such as jailbreaking devices, bypassing ID verification systems, and mass-manipulating documents are happening faster than ever, putting enormous pressure on traditional fraud prevention measures. <\/p>\n\n\n\n

One case cited during the panel involved 100 stolen identities being used in 160,000 fraud attempts<\/strong> – an operation impossible without AI. This means financial institutions must not only respond faster but anticipate fraud in real-time, integrating AI-driven detection tools that can scale with the threat.<\/p>\n\n\n\n

2. The barrier to entry for fraud is collapsing<\/strong><\/h3>\n\n\n\n

Historically, committing fraud required significant expertise and resources. Now, AI has democratised the ability to perpetrate financial crime, making it cheaper, faster, and easier to access. This trend is especially concerning because it allows individuals with limited technical skills to conduct sophisticated attacks.<\/p>\n\n\n\n

Organisations can no longer assume that only \u201chighly skilled\u201d fraudsters pose a threat. Instead, they must design systems that raise the cost and complexity of fraud, making it unprofitable for attackers.
<\/p>\n\n\n\n

3. Fraud prevention must move earlier in the value chain<\/strong><\/h3>\n\n\n\n

Traditionally, fraud detection has been a reactive, back-office function. But as AI-driven attacks accelerate and barriers to entry collapse, prevention must be embedded throughout the customer journey, from onboarding to ongoing monitoring.<\/p>\n\n\n\n

This involves:<\/p>\n\n\n\n