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LA Global AML and Sanctions Symposium

Nov 13, 2025 8:00 am - 5:00 pm
Past Event
LA Global AML and Sanctions Symposium
LA Global AML and Sanctions Symposium

The Los Angeles Global AML & Sanctions Symposium brought together leaders from government, law enforcement and the private sector to examine how financial crime is changing in an era of strategic competition.

 

Authoritarian regimes in China, Russia, Iran and North Korea increasingly sit behind illicit finance networks in which cartels, terrorist groups and criminal syndicates operate with state backing. These hybrid networks use front companies, crypto obfuscation, export control violations and sanctions evasion to undermine global financial stability.

 

Through four keynotes and an expert panel, the symposium covered:

  • Crypto-enabled laundering, scams and the rise of violent extortion
  • The state of BSA/AML supervision, FinCEN feedback and AML modernization
  • How cartels move and clean money, from bulk cash to trade-based laundering
  • Human trafficking typologies and the role of AI in detection
  • Global sanctions strategy, enforcement and innovation

The Los Angeles Global AML & Sanctions Symposium was hosted by the Coalition Against Financial Crime and offered five continuing education credits.

Agenda

Proudly Sponsored By:

Thomson Reuters provides trusted content and technology to professionals, including risk, fraud and compliance solutions that help institutions investigate and prevent financial crime.

RedCompass Labs is a payments and financial crime consultancy that helps banks modernise payments and detect illicit activity, including human trafficking.

Yanez Compliance is a financial crime compliance firm specialising in sanctions screening and compliance technology.

SRA Consulting supports more than 200 mid-market banks across the United States, delivering award-winning, end-to-end AI risk governance, monitoring, and third-party AI certification solutions. The firm has also developed an agentic platform designed to continuously monitor AI risk, including model drift, data leakage, and hallucinations.

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