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.
Brute-force attacks on a financial institution’s digital banking’s infrastructure can impact a significant number of customers and damage a financial institution’s reputation. Guardian Analytics can help.
Fraudsters are likely now in possession of sensitive personal information and are figuring out ways to exploit this through many means including opening new accounts, taking out loans, filing returns among other damaging actions. The heads of fraud operations at financial institutions (FIs) and corporations are at the focal point of this fluid situation as they’re now expected to raise their defenses to protect the interests of their customers