
stumpy
Scalable Python library for time series analysis via matrix profiles, enabling motif discovery, anomaly detection, semantic segmentation, and…

Scalable Python library for time series analysis via matrix profiles, enabling motif discovery, anomaly detection, semantic segmentation, and…

Automatic extraction of relevant features from time series:

A real-time traffic monitoring tool that detects and displays network traffic volume per IP address to identify potential DDoS attacks.

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

Network monitoring tool that maps process-to-network connections, identifies cloud providers, and detects beaconing activity

Open-source blue team tool that protects Linux and Windows systems using multiple host and network defense and detection methods.

NOVA - Claude Code Protection System against prompt injection attacks

Small tool to play with IOCs caused by Imageload events

Deep Learning models for network traffic classification

Basic log analysis tool to detect impossible travel via IP address geographic information

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

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Benchmark suite and code for detecting AI alignment failures, with 44 benchmarks across ten failure types and a zero-shot RLCD detector evaluated on…

DNS Dashboard for hunting and identifying beaconing

Reference implementation for "Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution". Out-of-band Epistemic Andon Cord,…

Simulation code and results for a private, verifiable, Byzantine-robust federated intrusion detection protocol using secret sharing, Merkle audits…

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

Autoencoder-based anomaly detection for identifying phishing domains using CERT Polska warning list data, with Jupyter notebooks for research and…