GenAI Security Agent Capstone 2025 🛡️🤖

Welcome to the GenAI Security Agent Capstone 2025 repository! This project focuses on building a GenAI-driven Security Assistant using cutting-edge technologies such as LangGraph, Gemini, and SerpAPI. Our goal is to enhance cloud security and cybersecurity practices through intelligent automation and risk analysis.

Table of Contents

• Project Overview
• Technologies Used
• Features
• Installation
• Usage
• Contributing
• License
• Contact

Project Overview

In today's digital landscape, security is paramount. This project aims to create an AI-driven assistant that can detect misconfigurations, analyze risks, and automate security measures. By leveraging the power of GenAI, we can provide insights that help organizations secure their cloud environments effectively.

The project combines various technologies to offer a robust solution for security challenges. It is designed for developers, security professionals, and anyone interested in enhancing their understanding of AI in cybersecurity.

Technologies Used

• LangGraph: A framework for building language-based applications.
• Gemini: Google's AI model that enhances natural language understanding.
• SerpAPI: A tool for scraping search engine results to gather data.
• Python: The primary programming language for development.
• Kaggle Datasets: Used for training and testing our models.
• Markdown: For documentation and reporting.

Features

• Misconfiguration Detection: Identify security misconfigurations in cloud environments.
• Risk Analysis: Assess potential risks based on existing configurations.
• Automated Reporting: Generate reports that summarize security findings.
• Interactive Notebook: An easy-to-use interface for running security checks.
• Cloud Security Integration: Works seamlessly with various cloud providers.

Installation

To set up the project locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/ankitkumar10021/genai-security-agent-capstone-2025.git

2. Navigate to the Project Directory:

   cd genai-security-agent-capstone-2025

3. Install Dependencies: Ensure you have Python installed. Then, run:

   pip install -r requirements.txt

4. Download and Execute Releases: Visit the Releases section to download the latest version. Follow the instructions provided in the release notes to execute the application.

Usage

Once installed, you can run the application using the following command:

python main.py

Follow the prompts to perform security checks and generate reports. The interactive notebook allows for easy navigation through different features.

Example Commands

• Check Configuration:

  python main.py check-config --cloud-provider AWS

• Generate Report:

  python main.py generate-report --output report.pdf

Contributing

We welcome contributions! If you have ideas for improvements or new features, please fork the repository and submit a pull request. Make sure to follow our coding standards and include tests for new functionality.

1. Fork the project.
2. Create your feature branch:

   git checkout -b feature/YourFeature

3. Commit your changes:

   git commit -m 'Add new feature'

4. Push to the branch:

   git push origin feature/YourFeature

5. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any inquiries or feedback, please reach out to the project maintainer:

• Name: Ankit Kumar
• Email: ankit.kumar@example.com
• GitHub: ankitkumar10021

Thank you for checking out the GenAI Security Agent Capstone 2025 project! For the latest updates and releases, visit our Releases section.