Sanction Scanner Blog

 Money laundering hides the source. Terrorism financing hides the destination. Learn how ML and TF differ in detection logic, regulatory basis, and what your AML program needs to cover both.

Know what to look for. This guide breaks down the key money laundering red flags — customer, transaction, behavioral, and geographic — and the AML tools that help compliance teams detect and act on them.

An in-depth analysis of six real-world money laundering typologies from small business fraud to crypto theft and their implications for modern AML compliance programs.

Discover the reasons for money launderers' attraction to cyrpto and how it works, the statistics, the key money laundering techniques in the “Money Laundering Through Cryptocurrency: Risks, Methods, and AML Compliance” article. Learn more about the regulatory framework, red flags for crypto money laundering and how Sanction Scanner supports crypto AML compliance.

Compare money laundering penalties by country, including prison terms, fines, confiscation, and major corporate enforcement cases in the US, UK, EU, UAE, Singapore, and Australia.

Keyword-based adverse media screening generates noise. Risk-category classification generates decisions. Here is what that difference means for compliance teams and why Fusion rebuilt its approach.

A deep-dive into the forensic mechanics of Money Laundering. Explore the technical nuances of Placement, Layering, and Integration, featuring real-world cases like 1MDB and Danske Bank. Learn how modern AI-driven compliance programs detect illicit flows in 2026's digital economy.

Discover the fear that if AI will replace compliance jobs, what AI does better than humans, what humans do better than AI in the “AI vs Human Analysts in AML: What AI Can and Cannot Replace” article. Learn more about the hybrid model, how the leading institutions combine both, how compliance roles are changing and what regulators expect.

Learn how Artificial Intelligence (AI) improves sanctions screening through smarter name matching, entity resolution, and faster screening with fewer false positives.