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

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

A Red Team vs. Blue Team Adversarial AI Simulation.

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK…

Purple Team Exercise Framework

Algorithms for outlier, adversarial and drift detection

Powerful protection for AI agents - Open-source security and cost tracking for AI applications

Semantic Observability for UNIX Systems - A lightweight C-based system prober with AI-powered analysis

Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

Sigma detection rules for AI agent security monitoring

Modular security toolkit for autonomous agents providing static analysis, configuration auditing, runtime monitoring, and supply chain verification…

Go-based MITM HTTP/HTTPS proxy with HTTP/2 and HTTP/1.1 interception, local CA/per-host cert generation, CONNECT/WebSocket tunneling, disk caching,…

AI-driven automated threat analysis pipeline that routes files, URLs, IPs, domains, or images through specialized security analyzers and generates…

An open-source, self-hosted AI-powered SIEM, EDR and SOAR platform for modern security operations.

Research toolkit for analyzing AI agent behavioral patterns through multi-disciplinary corpus analysis. Parses session logs, runs 23 analytical…

Security & Compliance bodyguard for OpenClaw agents

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

AISec Plus Week 1 threat write-up — EchoLeak (CVE-2025-32711), zero-click indirect prompt injection in Microsoft 365 Copilot.