
maltrail
Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Open-source security monitoring platform for threat hunting, intrusion detection, log management, incident response, and endpoint visibility with…

AI-driven endpoint governance platform that monitors software usage, applies deterministic policy-based risk classification, and generates structured…

Desktop monitoring and local security reviews for AI agents, with opt-in policy-controlled execution and MCP action tools. Windows primary;…

ESPectre - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.

Very fast DDoS sensor with sFlow/Netflow/IPFIX/SPAN support

Linux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…

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

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

Real-time monitoring and slowlog analysis for Valkey and Redis databases with anomaly detection, ACL auditing, and Prometheus metrics export.

With Wireshark or TCPdump, you can determine whether there is harmful activity on your network traffic that you have recorded on the network you…

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

Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…

Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…

Detects LLM context-leakage attacks by training lightweight behavior probes on log-probabilities, with vLLM offline/server detection pipelines.


Simple Anti-cheat library for applications that use C++ on windows. #PastedProtection

List of tools & datasets for anomaly detection on time-series data.