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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 Adverse Media and why do we need it ?
What is Adverse Media and why do we need it? Globally there is a spotlight on regulated industries and the general trend right now is for countries to encourage or force adverse media screening checks in order to assist with combating any poor AML protocols. Onboarding a client with a poor reputation and a risky […]
The Growing Pressures for Compliance – A Special focus on the role of the MLRO
In recent times, we have seen a major increase in electronic transactions in part due to Covid19 and the reduction in cash transactions, but also with the increase in Electronic Money Institutes (EMI’s) starting up which are disrupting the market. This increase in volume of traffic has made it more difficult to monitor and detect suspicious transactions, persons, and businesses for compliance […]
AML Connecting the Dots Webinar – Minimising Fraud Risks in Regulated Companies
Money laundering and prevention of risky financial activities has proven to be a challenge to tackle for regulated companies. With technological advancements, come more intuitive ways for criminals to find their way around manipulating systems, and pursue fraudulent activities through said regulated companies, which can potentially cost these companies millions in legal fees. On April […]
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; […]
