#1LLM security, prompt injection, model extraction, adversarial AI, and AI red teaming tools.
Kitploit recommended

AI-powered bug bounty hunting toolkit that works with or without subscription.

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Python library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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

Protection against Model Serialization Attacks

Algorithms for outlier, adversarial and drift detection

A security scanner for your LLM agentic workflows

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

Train, evaluate, and explore neural networks with built-in adversarial robustness tools, including PGD attacks, adversarial training, and robust…

Automates CAPTCHA solving with multimodal AI models (GPT-4o, Gemini) and Selenium, supporting text, audio, slider puzzles, and reCAPTCHA v2 via a…

Standardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…

Interpretability and explainability of data and machine learning models

🥂 Gracefully face hCaptcha challenge with multimodal large language model.

A curated list of useful resources that cover Offensive AI.

Intentionally vulnerable banking platform for practicing web application, API, and AI/LLM security testing, secure code review, and DevSecOps…

Keep private data, internal infrastructure and secrets out of cloud coding agents without breaking your workflow.

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