The most advanced browser fingerprinting library.

Anomaly detection related books, papers, videos, and toolboxes

Open-source infrastructure and data orchestration platform for risk decisioning

💰 Billing & Payments knowledge for cloud platforms

DNS Block Lists

Leading open source version of browser device fingerprint, accurate deviceID and risk identification.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Protect your SIP Servers from bad actors at https://sentrypeer.org

Python package for detecting copy-move attack on a digital image

Modern Web Firewall: stop account takeovers, weak passwords, cloud IPs, DoS attacks, disposable emails

block pesky malicious pop ads.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Prevent card-attack fraud on WooCommerce stores by rate-limiting the "place order" button

"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.

Case Studies on Forensic Accounting using Data Analysis

A Flutter plugin for the native FingerprintJS Pro libraries

Music and text generation with Transformer-XL.

Decentralized Social Network Money Frauds/Scams including BitClout / DeSo, Twetch, Steemit, PeakD

Implementation of an intelligence system to detect the fraud cases on the basis of classification.

Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.