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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. Organisations worldwide have elevated this mission to the top of their priority lists. In response, a risk-based approach to transaction monitoring has emerged as a […]
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 align seamlessly with the Act’s core principles. Here’s how the landscape of AI compliance unfolds: 1. Risk Classification and Regulation The Act emphasises categorising AI […]
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 goes beyond isolated efforts. At ComplyRadar, we firmly believe that the key to success lies in better coordination between anti-fraud and anti-money laundering (AML) controls, […]
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 licensed operators from offering credit under the Gambling Act, but the new proposed measures enforce a more robust approach. The Ministry has highlighted the link […]
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 threatens the integrity of the fintech sector, therefore demanding businesses to invest and implement proactive, efficient measures to counteract effects of ML. This is where […]
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 the deal on the authority’s seat, marking a milestone in the EU’s efforts to strengthen its anti-money laundering framework. Set to kick off operations in […]
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 simple, businesses require proactive and intelligent solutions to remain ahead of the curve. Enter ComplyRadar, a cutting-edge transaction monitoring solution which harnesses the power of […]
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. Traditional transaction monitoring rules tend to be set as thresholds impacting most of the customer-base with the least-risk cut-off point. This results in rules that […]
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 – is a particular activity hiding illicit money laundering activity or not – reaching a simple and correct conclusion is in many cases not an […]
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 additional filter for suspicious transactions over and above the ComplyRadar rules engine. There are different types of anomalies that can be detected, including: Point anomalies; […]
