A weaponized ML model can only be fought with ML and behavioral analytics on both transactional and non-transactional data. As a pioneer in Machine Learning and Behavioral Analytics for Fraud Detection, Guardian Analytics continuously enhances its multi-channel fraud detection model algorithms to fight conventional and weaponized ML fraud schemes.
Micro-structuring is a structuring scheme that is difficult for traditional AML rule-based systems to detect. Guardian Analytics AML solutions brings powerful new capabilities to detect and aid in the investigation of these complex money laundering schemes. Guardian Analytics AML solutions provides configurable KYC forms to prevent micro-structuring at the start, region-specific micro-structuring detection through flexible Smart Rules, and a Multi-channel Graph Link Analysis to detect the hidden relationship and movement of funds.
Build Brute-Force Attacks Prevention into Your Daily Fraud Operations Workflow with Guardian Analytics
Want to learn more about how to protect your digital banking accounts from Brute-Force Attacks? Learn how Guardian Analytics can help.
With online banking a user doesn’t interact with a bank employee in-person, a user is identified solely through a username and password. These credentials can be, and often are, easily stolen by fraudsters via various phishing and social engineering scams. Security analysts realize that every online session that uses the correct username/password combination cannot be blindly trusted, and there is a need to use additional attributes to verify that the session being conducted is in fact, by a legitimate user.
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