#1Behavioral anomaly detection, outlier analysis, UEBA, and statistical threat detection tools.
Kitploit recommended

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…

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

The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides…

ML-assisted forensic analysis tool that automates memory, disk, and live system triage on Windows using Volatility 3, autorunsc, and sigcheck to…

AI-based, context-driven network device ranking

Streamlit-based insider threat detection prototype using XGBoost and Isolation Forest to analyze employee activity data, generate risk summaries, and…

Autonomous AI-powered cyber defense system using MCP, Gemini 2.0 Flash, Dynatrace observability and MongoDB. Google Cloud Hackathon submission.

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

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

Multi-layered prompt injection detector for AI applications using heuristics, LLM-based analysis, vectorDB attack signatures, and canary token leak…

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

Linux kernel-space HID injection attack detector using eBPF. Monitors USB and Bluetooth HID devices for anomalous keystroke timing and automatically…