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<p align="center">
<h1 align="center">Agentic Security</h1>
<p align="center">
The open-source Agentic LLM Vulnerability Scanner
<br />
<br />
<h1 align="center">Agentic Security</h1>
<p align="center">
An open-source vulnerability scanner for Agentic Large Language Models (LLMs)<br />
Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks.<br />
<a href="https://agentic-security.vercel.app">Explore the docs »</a> ·
<a href="https://github.com/msoedov/agentic_security/issues">Report a Bug »</a>
</p>
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## Features
- Multi modal attacks and vulnerability scanners🛠️
- Multi-Step/multi-round Jailbreaks 🌀
- Comprehensive fuzzing for any LLMs 🧪
- LLM API integration and stress testing 🛠️
- RL based attacks 📡
Note: Please be aware that Agentic Security is designed as a safety scanner tool and not a foolproof solution. It cannot guarantee complete protection against all possible threats.
Agentic Security equips you with powerful tools to safeguard LLMs against emerging threats. Here's what you can do:
- **Multimodal Attacks** 🖼️🎙️
Probe vulnerabilities across text, images, and audio inputs to ensure your LLM is robust against diverse threats.
- **Multi-Step Jailbreaks** 🌀
Simulate sophisticated, iterative attack sequences to uncover weaknesses in LLM safety mechanisms.
- **Comprehensive Fuzzing** 🧪
Stress-test any LLM with randomized inputs to identify edge cases and unexpected behaviors.
- **API Integration & Stress Testing** 🌐
Seamlessly connect to LLM APIs and push their limits with high-volume, real-world attack scenarios.
- **RL-Based Attacks** 📡
Leverage reinforcement learning to craft adaptive, intelligent probes that evolve with your model’s defenses.
> **Why It Matters**: These features help developers, researchers, and security teams proactively identify and mitigate risks in AI systems, ensuring safer and more reliable deployments.
## 📦 Installation