Fraud, AML & Anomaly Detection - Frontier Ledger

Fraud, AML & Anomaly Detection

20 articles on money laundering detection, fraud prevention, anomaly detection, and compliance automation.

1

Graph Neural Networks for Money-Laundering Ring Detection

2

Real-Time Anomaly Detection in Payment Streams with Autoencoders

3

Synthetic Fraud Data Generation to Augment Training Sets

4

Combining Device Fingerprinting with Behavioral Biometrics

5

AI-Driven Insider-Trading Detection Using Option Activity

6

Credit-Card Chargeback Prediction Using Ensemble Models

7

Cross-Border Transaction Risk Scoring with Bayesian Networks

8

Detecting "Buy-Now Pay-Later" Abuse Patterns

9

NLP for Identifying Fraudulent Claims in Insurance Documents

10

Federated Learning for Consortium-Wide Fraud Models

11

Adaptive Thresholding to Reduce False Positives in AML Alerts

12

Explainable AI for Suspicious Activity Report Generation

13

Behavioral Analytics for Account-Takeover Prevention

14

Reinforcement-Learning for Dynamic Fraud-Rule Creation

15

Detecting Shell Companies with Graph-Based Entity Resolution

16

Multi-Modal Fraud Detection Combining Text, Image, and Tabular Data

17

Quantum-Inspired Algorithms for Large-Scale Anomaly Scoring

18

Assessing Deepfake Risk in Video KYC Processes

19

Fraud Scenario Simulation Frameworks for Stress-Testing

20

Continuous Model Validation Under FATF Guidelines