Webinar

AML/CTF Risks Linked to Deepfakes

25 juin


Via Zoom

AML/CTF Risks Linked to Deepfakes

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

 

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.

 

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.


Trainer(s)
speaker

Parya Lotfi

Co-founder

DuckDuckGoose

speaker

Max Braun

Director

CRF - Luxembourg

speaker

Marc De Beaucorps

Co-fondateur & CEO

Finovox

Détails

Date

25 juin

Heure

08:00 - 10:00

Prix

225€

Accréditation

FSMA - 500.138

Crédits

2


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