Is your AML/CTF framework ready to detect deepfake-driven fraud, and can your controls withstand AI-powered impersonation attacks?

Deepfakes are rapidly transforming the financial crime landscape. What began as a technological novelty has evolved into a serious AML/CTF risk, enabling criminals to manipulate identities, clone voices and impersonate executives or clients with alarming realism. Financial institutions now face growing exposure across onboarding, payments and remote identification processes, while regulators expect stronger governance, accountability and robust detection mechanisms.

On the agenda

• Deepfakes and identity fraud – Synthetic identities, voice cloning and document manipulation
• Operational impact on AML/CTF and payments – Onboarding vulnerabilities, instant payments and impersonation fraud
• Regulatory and supervisory expectations – AMLR accountability, AI governance and compliance liability
• Detection and mitigation strategies – Combining human judgement with AI-driven controls
• Governance and compliance roadmap – Preparing for supervisory scrutiny in 2026–2027

This webinar will bring you

• A comprehensive overview of deepfake-related AML/CTF risks and their operational impact on financial institutions
• Practical insights from forensic, AML and fraud specialists, including real-life cases and implementation challenges
• Clear guidance on detection, prevention, governance and responsible AI use within existing compliance frameworks

Join us for this critical discussion as we uncover the evolving battle between AI-driven financial crime and the next generation of AML defences to ensure compliance.

Moderator 

Boris Rohwedder, Director, Forensic and AML/Anti-Financial Crime,PWC Luxembourg

Speakers

Max Braun, Director, Cellule de Renseignement Financier (CRF)

Celia Martín Lasheras, Sr Pre/Post Sales Fraud & Security Intelligence, SAS

Parya Lotfi, Co-founder, DuckDuckGoose AI

Marc De Beaucorps, Co-founder & CEO, Finovox

This webinar is designed for

AML professionals, compliance officers, risk responsibles, financial regulators, and AI specialists seeking to stay ahead of AI-driven financial crime.