On-Demand Webinar
Navigating Stablecoin Compliance with AI
Stablecoins have outgrown traditional AML frameworks—and the gaps are already being exploited.
This session breaks down:
How stablecoin risk differs from traditional transaction monitoring
Where cross-chain and jurisdictional blind spots emerge
Why network-level detection is required to identify illicit activity
How AI is being used to keep pace with scale and complexity
Watch to understand what your current program may be missing.
Meet the Speakers
Brandi Reynolds
Chief Compliance Officer
World Liberty Financial
Brandi serves as Chief Compliance Officer at World Liberty Financial. Previously, she served as the Chief Growth Officer & Senior Managing Director at Bates Group, counseling financial services clients on AML, risk management, and AI systems monitoring. She also serves as a long-term Instructor and Course Advisor for ACAMS.
Dr. Shlomit Wagman
Former Regulator and FATF Leader
Dr. Shlomit Wagman serves as Global Chief Regulation and Compliance Officer at Rapyd, a global fintech enabling businesses to accept, send and manage funds worldwide. Shlomit previously co-chaired the FATF's RTMG division, developing global anti-money laundering policies and standards.
Morgan Loewith
Head of Product
Castellum.AI
Morgan is Head of Product at Castellum.AI, where she leads product strategy and development. She brings experience building and scaling products across high-growth technology companies.
Kristen Hecht
Chief Compliance Officer
1Money
Kristen leads compliance at 1Money, the world’s first stablecoin payment network. She brings nearly two decades of financial crimes compliance experience spanning government and private sector roles, including Senior Policy Advisor at the US Treasury Department and executive compliance leadership positions at leading banks, fintechs and cryptocurrency platforms.
Featured Resource
How to Evaluate AI Agents for AML/KYC
Learn how to test AI agents for autonomy, accuracy, auditability and compliance readiness, before you commit.
What’s inside the guide?
True agentic AI vs. automation: How to spot real autonomy, not just workflow orchestration.
Data governance: Why ownership and control of risk data matters for safe decisioning and auditability.
Edge case handling: Can the agent triage intelligently and learn, or is escalation the default?
Decision journaling: What auditors and regulators expect from AI explainability and documentation.
Human-in-the-loop design: How to ensure the right feedback loop to improve accuracy and accountability.
Regulatory readiness: How to align AI deployment with emerging regulatory expectations.