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

A TypeScript package that provides AI-powered agents for Application Security (AppSec) tasks, built on top of the frontier models.
DonkAI is a hands-on lab for the OWASP Top 10 for LLM Applications (2025) - no real LLM required.

The source files and tools needed to build the OWASP Cornucopia decks in various languages

AI-powered Docker security scanner that explains vulnerabilities in plain English. An OWASP Lab Project.

Coordination structure for AI security standards and guidelines, reducing fragmentation and providing clear guidance for securing AI systems across…

Aurea is an open-source, AI-powered platform that secures infrastructure-as-code (IaC) across Terraform, Kubernetes, Docker, and Ansible. It…

Security Scanner for Agent Skills

MCP server for Slither static analysis of Solidity smart contracts

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

Execution-Layer Security (ELS) for AI agents — policy-enforced shell with audit.

A repo for jailbreaking various LLMs, mainly Claude

Professional vulnerability assessment report for LiteLLM command injection risk, including executive summary, technical impact, remediation, and…

Autonomous white-hat security auditor for AI-driven code review, bug bounty research, exploit construction, and execution-grounded verification.

Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.

Research repository documenting LLM generalization ceilings in code security vulnerability detection, with cross-evaluation across synthetic and…

A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)

Vulnerability scanner for AWS customer managed policies using ChatGPT

Repository of AI-generated Nuclei templates for public CVEs not yet covered by existing templates, enhancing detection speed and coverage 👾