Unveiling the power of risk-based transaction monitoring in modern compliance

In today’s intricately woven financial landscape, the paramount objective is to ensure compliance with regulations while proactively identifying and thwarting illicit activities such as money laundering, fraud and terrorist financing. […]
Navigating the EU AI Act: A Proactive Approach to Compliance

As the EU’s AI Act ushers in a new era of AI regulation, businesses are looking to ensure the solutions which they have invested in and planning to invest in […]
Maximising Financial Crime Prevention: The Power of Coordinated Controls

In present day, the threat of cybercrime looms large, and organisations are rightfully concerned. However, addressing these concerns and effectively preventing financial crimes requires a comprehensive and sophisticated approach that […]
Sweden proposes comprehensive ban on gambling with credit

The Swedish Ministry of Finance has proposed an enhanced ban on the use of credit for gambling, which aims to curb gambling-related harm or irresponsible gambling. Existing regulations already prohibit […]
ComplyRadar: Empowering Fintechs Against Money Laundering Challenges

In the dynamic landscape of financial technology (fintech), and the evolution of digital transactions and global financial services businesses face numerous challenges in preventing of money laundering (ML). This is […]
Frankfurt to Host EU’s Anti-Money Laundering Authority (AMLA)

Exciting developments in the fight against financial crime as Frankfurt emerges as the chosen host for the European anti-money laundering authority, AMLA. Last week, the Council and European Parliament sealed […]
How Financial Institutions can harness AI and Machine Learning with ComplyRadar

In the fast paced world of financial services, payment institutions are navigating through and exposed to stringent regulatory scrutiny along with evolving fraud tactics. Addressing these challenges effectively is not […]
Risk Based Approach

Once the customers demand for services increases and business growth ensues, transaction volumes and variety become so large that a one-size-fits-all transaction monitoring approach no longer becomes feasible or effective. […]
Powering Anti-Money Laundering efforts with Artificial Intelligence

The question that follows, is how can artificial intelligence assist organisations with combatting Money Laundering? Although in essence the ultimate question which needs to be answered is a binary one […]
What Is AI/ML Anomaly Detection

Anomaly detection is an advanced technique that uses an organisations’ data and machine learning to detect behaviour that doesn’t fit within the expected normal behaviour profile. This module works an […]