
exocomp
Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

EmailXpose is an open source AI-powered email security system that detects phishing, spam, scams, malware, and social engineering attacks. It goes…

Analyzes LLM internal states and 100+ attention/probability features to train classifiers that detect document poisoning attacks in RAG systems.

QuantumLock is an open-source, quantum-resistant Bitcoin protocol designed to protect digital assets from future quantum computing threats. Featuring…

AI Code Security — four agents that catch what SAST misses in AI-generated code. Built on GitLab Duo Agent Platform.

Hunting for passwords with deep learning

Asymmetric defense against adversarial AI agents. VeilGate evaluates each incoming request, redirects suspected agents into a per-IP-consistent…

Domain Enrichment Toolkit $ pip install richkit

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Fast and accurate AI powered file content types detection

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 curated list of useful resources that cover Offensive AI.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Automated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…

Automated security analysis pipeline that runs CodeQL queries on GitHub repositories and uses LLMs to classify and filter true vulnerabilities from…

Open-source email filtering framework that detects spam and phishing using content analysis, header checks, Bayesian scoring, and DNS blocklists.