The Use of AI in Financial Crime: Weaponisation and Countermeasures
This webinar forms part of the 2025 Financial Crime Prevention Series.
Description
This webinar explores how criminals are leveraging AI as a first-mover advantage in financial crime, using generative tools to enable phishing, deepfakes, synthetic identities, and autonomous cyberattacks. A North Korea case study illustrates real-world risks. The session also examines private sector and law enforcement innovations, regulatory responses (including FINCEN and FCA initiatives), and the evolving role of AI-powered tools in KYC automation, periodic risk rating, EDD templates, and alert adjudication.
This webinar provides one-hour of CPD and offers insights and updates from a leading industry-expert speaker.
Delegates places are interchangeable with colleagues from the same organisation.
Content
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Criminals have the first-mover advantage - they twist new technologies to meet malign ends!
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Generative AI tools facilitate:
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Phishing emails in multiple languages
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Deepfake videos for extortion
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Synthetic identities for money laundering
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Autonomous cyberattacks
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Embedding nefarious remote workers within financial services firms
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North Korea AI Usage Case Study
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Private Sector/Law Enforcement Innovation
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Regulatory Initiatives
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FINCEN guidance on deepfakes
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FCA Market Abuse / AI Lab
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Vendor Tools
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KYC Automation
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Periodic Risk Rating
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EDD Templates
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Alert Adjudication Automation
Presenter
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David Soiles Financial Crime Compliance Advisory at Capgemini |
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David is Capgemini’s FCC Fintech Practice Lead based in the New York office. David specializes in digital asset FCC compliance, and has both (i) conducted AML audits of digital asset firms of all sizes, and (ii) helped build out FCC compliance programs at many digital asset firms. David helps clients to enhance their financial crime compliance control frameworks through advice and tech-enabled solutions across the three lines of defence. This includes assisting Front Office, Operations, Compliance and Internal Audit functions to transform their programmes through process automation, AI/ML, analytics and expert advice. He provides support to regulated firms by undertaking quality assurance reviews, proactive programme reviews in advance of regulatory visits, on-site audits, benchmarking reviews, program design and implementation projects, process re-engineering and automation, issue management and validation and specialist training. Through his work, David has assisted clients to manage risk more effectively, sustainably and in line with applicable regulatory requirements, industry guidance and best practice, whilst making proportionate and practical recommendations that deliver desired risk management outcomes. |