Guardian Analytics® to Host Explainable Machine Learning Models Webinar Featuring Kaufman Rossin and VivoSecurity on October 24th
Guardian Analytics, the market leader in real-time behavioral analytics and machine learning solutions for banking payment fraud detection, anti-money laundering, and enterprise B2B portal fraud, today announced an upcoming executive webinar “Explainable Machine Learning – AML & Fraud Models” on October 24th.
Guardian Analytics® will Feature Securing Faster Payments at the 2019 Finastra US Payments Business Forum
Guardian Analytics, the market leader in real-time behavioral analytics and machine learning solutions for banking payment fraud detection, anti-money laundering, and enterprise B2B portal fraud, is a Platinum sponsor of 2019 Finastra US Payments Business Forum and will present “Securing Faster Payments” on Thursday, October 17th.
Guardian Analytics® to Feature Real-time Wire Fraud Detection & Intervention at the 2019 Mid-South User Group
Guardian Analytics will present “Detecting Wire Fraud in Real-time” on Thursday, October 17th at 1pm at the Mid South User Group Meeting. The session will showcase how Guardian Analytics’ behavior-based, Real-time Wire Fraud Detection solution monitors all activities and transactions for each account holder allowing users to build a profile of each customers typical behavior.
On October 17th, Learn How to Monitor and Analyze Brute Force Attacks using Guardian Analytics’® Fraud Detection Analytics
Guardian Analytics is hosting an upcoming executive webinar “Monitor and Analyze Brute Force Attacks using Fraud Detection Analytics” October 17, 2019.
Guardian Analytics® to host San Francisco Financial Crimes Forum featuring, the Federal Reserve Bank of Boston and Javelin Research, on October 10th
Guardian Analytics will will be hosting “San Francisco Financial Crimes Forum featuring the Federal Reserve Bank of Boston and Javelin Research” at the Omni Hotel on Thursday, October 10th. This half-day interactive conference will provide attendees with the opportunity to learn about fighting crimes with machine learning, the latest trends on faster payments & P2P fraud, and the need for a common fraud taxonomy to improve detection and prevention.