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

SHAREM is a shellcode analysis framework, capable of emulating more than 45,000 WinAPIs and virutally all Windows syscalls. It also contains its own…
Graph-based OSINT investigation platform with timeline analysis, entity management, and AI-powered transforms for uncovering hidden connections…

a security scanner for custom LLM applications

Cybersecurity AI (CAI), the framework for AI Security

real time face swap and one-click video deepfake with only a single image

Curated list of open-source LLM security scanners and web app scanners, ordered by stars, for finding vulnerabilities in AI applications.

Open source platform for cyber security analysts with many features for threat intelligence and detection engineering.

An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE…

AI-powered penetration testing assistant for automating recon, note-taking, and vulnerability analysis.

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables…

Automatic security vulnerability remediation for your code.

A Burp Suite extension to add OpenAI (GPT) on Burp and help you with your Bug Bounty recon to discover endpoints, params, URLs, subdomains and more!

Free hands-on digital forensics labs for students and faculty

An Open-Source Package for Textual Adversarial Attack.

Autonomous AI-powered cyber defense system using MCP, Gemini 2.0 Flash, Dynatrace observability and MongoDB. Google Cloud Hackathon submission.

An Open Harness and Benchmark for AI in Cybersecurity Operations.

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

EU AI Act compliance scanner for GitLab CI/CD pipelines — detects AI/ML libraries and posts risk classification as MR comments.