
Purple-Team-Automation
Automated adversary emulation (Caldera) against an AD lab to validate Sigma detection coverage and map results to MITRE ATT&CK.

Automated adversary emulation (Caldera) against an AD lab to validate Sigma detection coverage and map results to MITRE ATT&CK.

Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more

Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

Adversary Emulation Framework

A comprehensive guide to adversarial testing and security evaluation of AI systems, helping organizations identify vulnerabilities before attackers…

The exploit server for out-of-band findings. Point a target at a domain you own. Every HTTP request and every email it sends back lands in a…

Empire is a post-exploitation and adversary emulation framework that is used to aid Red Teams and Penetration Testers.

Gemini - Production LLM Runtime Alignment Context Injection

Generates HTML smuggling pages that embed and reconstruct files client-side via JavaScript, with payload encoding, chunking, obfuscation, and…

Open-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…

Agentic jailbreak framework for LLM-based agents using scheme-based task decomposition, multi-turn disguising strategies, and adaptive self-evolution…

Evolutionary LLM jailbreak and guardrail framework that grows a reusable strategy pool via genetic mutation, Markov selection, and online adversarial…

Tracker of publicly reported prompt-injection techniques, broken down by delivery method, encoding, and propagation behavior, with confirmed models,…

A privacy-first app that strips AI watermarks from content you own.

Fully automatic censorship removal for language models

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

Set of tools to assess and improve LLM security.

Open-weight LLMs and training/evaluation code for defending against prompt injection attacks, with benchmarks for agentic tool-calling and…