Why AML needs AI: Debunking the myths for FinTechs

Presented by

Martin Rehak Resistant AI, Kseniia Kutyreva FINOM, Ciara Aitchison FINTRAIL, Serena Joseph NED & Chair of Risk Kroo Bank

About this talk

How FinTechs can embrace AI-powered AML and turn it into a growth enabler. Global regulators and anti-financial crime bodies are united in recognising AI’s potential to transform AML efforts in the financial sector. However, some firms believe it is not for them, fearing it would be too complex, opaque or costly to implement in practice. But this isn’t the case! Join FINTRAIL, Resistant AI and FINOM on 10th November at 10am GMT for a 30 minute session to debunk some of the common misconceptions around adopting AI for AML, and hear real-life examples of how accessible, transparent and impactful it can be, even for smaller firms.

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Explore the latest threats posed by increasingly sophisticated criminals using automation to commit fraud and financial crime at an unprecedented scale, develop an understanding of the mindset of a cybercriminal to anticipate their moves, and learn how to best leverage AI, automation, and human insight to fight back. At Resistant AI, we’ve been using machine learning to hunt cybercriminals for over 15 years, and we’ve followed them into the field of financial crime. We’ve developed state of the art machine-learning techniques we call Real-time Identity Forensics to make the AI and automation systems you rely upon resilient to manipulation and attack. By analyzing everything from submitted documents to ongoing customer behaviors, we uncover and prevent document forgery, serial fraud, synthetic identities, account takeovers, money laundering, and as yet unknown financial threats operating at scale. And we want to arm you with the knowledge you need to fight off this new breed of financial criminals.