# Agentic Security: LLM Vulnerability Scanner and AI Red Teaming Kit

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Agentic Security is an open-source vulnerability scanner designed for Agent Workflows and Large Language Models (LLMs). It helps protect AI systems from various threats, including jailbreaks, fuzzing, and multimodal attacks. This Python-based tool is essential for developers and security teams to proactively identify and mitigate risks in AI deployments, ensuring safer and more reliable AI systems.

GitHub: https://github.com/msoedov/agentic_security
OSRepos URL: https://osrepos.com/repo/msoedov-agentic_security

## Summary

Agentic Security is an open-source vulnerability scanner designed for Agent Workflows and Large Language Models (LLMs). It helps protect AI systems from various threats, including jailbreaks, fuzzing, and multimodal attacks. This Python-based tool is essential for developers and security teams to proactively identify and mitigate risks in AI deployments, ensuring safer and more reliable AI systems.

## Topics

- Python
- AI Security
- LLM Security
- LLM Vulnerabilities
- AI Red Teaming
- Agent Security
- Prompt Testing
- LLM Fuzzing

## Repository Information

Last analyzed by OSRepos: Sun Jan 04 2026 12:00:55 GMT+0000 (Western European Standard Time)
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GitHub clicks: 7

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## Content

## Introduction

Agentic Security is a powerful open-source vulnerability scanner for Agent Workflows and Large Language Models (LLMs). Developed by msoedov, this Python-based tool provides a comprehensive kit for AI red teaming, enabling users to identify and mitigate risks such as jailbreaks, fuzzing, and multimodal attacks. It offers robust features to ensure the safety and reliability of AI systems, making it an invaluable asset for developers, researchers, and security teams.

Key features include:
*   **Multimodal Attacks**: Probe vulnerabilities across text, images, and audio inputs.
*   **Multi-Step Jailbreaks**: Simulate sophisticated, iterative attack sequences.
*   **Comprehensive Fuzzing**: Stress-test any LLM with randomized inputs.
*   **API Integration & Stress Testing**: Seamlessly connect to LLM APIs and push their limits.
*   **RL-Based Attacks**: Leverage reinforcement learning to craft adaptive, intelligent probes.

## Installation

To get started with Agentic Security, simply install the package using pip:

shell
pip install agentic_security


## Examples

After installation, you can quickly launch the Agentic Security server:

shell
agentic_security


This will start a local server, often with a UI accessible via a web browser for interactive testing. For more advanced usage, you can initialize a configuration file and run a CI check to integrate security scanning into your development pipeline:

shell
agentic_security init
agentic_security ci


Agentic Security also supports probing various modalities like image and audio, and integrating with LLM APIs using custom HTTP specifications, allowing for flexible and comprehensive testing.

## Why Use Agentic Security?

Agentic Security is crucial for anyone involved in developing, deploying, or securing AI systems. It provides the tools to proactively identify and mitigate vulnerabilities in LLMs and agent workflows, protecting against emerging threats like sophisticated jailbreaks and multimodal attacks. By integrating this scanner into your development lifecycle, you can ensure safer, more robust, and reliable AI deployments, safeguarding against potential misuse and enhancing trust in your AI applications. Its focus on real-world threats and adaptive attack strategies makes it a vital component for modern AI security.

## Links

*   [GitHub Repository](https://github.com/msoedov/agentic_security "Agentic Security GitHub Repository")
*   [Official Documentation](https://agentic-security.vercel.app "Agentic Security Documentation")
*   [Report a Bug](https://github.com/msoedov/agentic_security/issues "Report an issue on GitHub")
*   [PyPI Package](https://pypi.org/project/agentic_security/ "Agentic Security on PyPI")