
RITA-J
Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.

Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.

amavis is a high-performance email content filter framework written in Perl.

Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

Jepsen-based transactional correctness testing framework for DuckDB, detecting isolation anomalies like G2-item and SSI violations via randomized…

Berry Sentinel v5.0 — Advanced behavioral C2 and reverse shell detector for Linux/Windows/Unix systems. Features real-time connection analysis,…

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

NFStream: a Flexible Network Data Analysis Framework.

Serverless AWS security automation framework that ingests threat intelligence, applies ML-based anomaly detection (RCF, IP Insights), and enriches…

Open-source security framework for real-time event tracking, threat detection, and risk scoring. Monitors user behavior, detects fraud, bot attacks,…