The Terraform module for Fingerprint Pro CloudFront Integration

Implementing FedLearning on a fraud detection dataset.

MISP (core software) - Open Source Threat Intelligence and Sharing Platform

Implementation of Decision Tree, Naive Bayes, and Logistic Regression to classify fraudulent transactions using Kaggle data

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

A Flutter plugin for the native FingerprintJS Pro libraries

FoxTrendAI leverages advanced machine learning for accurate predictions and fraud detection tools in various domains.

Python SDK for Fingerprint Pro Server API

C#/Dotnet SDK for Fingerprint Pro Server API

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.

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

🎁 Blocks browser-based crypto mining, cryptojacking, banking and crypto malware and phishing websites, apps and hackers command-and-control (C2) servers.

iBeta level 2 passive face liveness detection Android SDK which can detect printed photos, video replay, 3D masks, and deepfake threats

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

Reat Time Fraud Detection using ML

Learning Fraud Detection from research papers and industry applications.

Node.js wrapper for FingerprintJS Server API

Financial transactions fraud detection using ML (covers research, experimentation and deployment via GCP)

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Java SDK for Fingerprint Pro Server API