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Cryptocurrencies: An Avenue for Sanctions Evasion?
In recent years, the rise in cryptocurrencies’ popularity within the financial sphere has illuminated concerns about their potential misuse in evading sanctions. The decentralized nature

‘Bring Your Kid to Work Day’ 2023: Where iMATTER and Innovation Intersect
Fostering Future Innovators at iSPIRAL On August 31, 2023, iSPIRAL rolled out the red carpet for our most anticipated guests of the year – our

Debanking of PEPs – The Case of Nigel Farage
Data reveals that UK banks are closing over 1,000 accounts daily (Source: “The Guardian”). Why? They often use a tactic called “debanking”. This practice means

Sanctions: How to Mitigate the Risk of Non-Compliance
Sanctions are restrictions imposed by countries or governments on others to achieve specific goals without using force. Implementing an effective sanctions compliance program is crucial

Top 7 tips for leveraging Big Data Analytics to strengthen AML programs
Define clear goals: Clearly define the goals and objectives you want to achieve using big data analytics in your AML program. This helps your efforts

Enhancing Risk Mitigation through Ongoing Customer Review and Monitoring
With so many risks around, risk mitigation has become lifesaving for financial institutions. To effectively mitigate the risks associated with money laundering, terrorist financing (ML/TF),

Safeguarding Against Abuse of Ownership Structures
In the global fight against money laundering and terrorist financing, complex ownership structures pose a significant challenge for compliance officers. These structures indicate arrangements and

Industry Insights: The Gambling Sector and Financial Crime
Have you ever wondered why the gambling industry is particularly vulnerable to money laundering? Or how criminals exploit this sector for illicit activities? Find the

Detecting Risk Indicators (red flags) in Financial Institutions
Banks and financial institutions stand at the forefront of the battle against money laundering and terrorist financing (ML/TF) risks, facing significant challenges in safeguarding the