
zeek
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.

Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.

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

NFStream: a Flexible Network Data Analysis Framework.

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

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

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.

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

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

Kernel-runtime defense framework for AF_ALG vulnerabilities, featuring eBPF socket tracing, Ansible hardening, and a crypto auditor for drift…

Training-free anomaly detection framework using Shannon Entropy, Fisher Information, and Wasserstein Distance to map system states into geometrically…

End-to-end Python framework for time series intelligence, offering anomaly detection, forecasting, change point detection, AutoML, ensembles, and…

SQL powered operating system instrumentation, monitoring, and analytics.

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

Next-gen logical WAF engine built in SWI-Prolog. Features an inductive learning brain running at 2M+ LIPS with an integrated recursive decoder to…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.