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title: Cybersecurity AI Platform | |
emoji: 🛡️ | |
colorFrom: blue | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 4.19.2 | |
app_file: app.py | |
pinned: false | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
# Cybersecurity AI Platform | |
## Overview | |
The Cybersecurity AI Platform is a comprehensive solution designed to harness the power of advanced open-source AI models, including large language models (LLMs), small language models (SLMs), and cybersecurity-specific AI models available on the Hugging Face Hub. The platform provides robust capabilities for threat detection, anomaly detection, and vulnerability assessment, making it an essential tool for cybersecurity professionals. | |
## Features | |
- **Integration of advanced AI models**: Utilize state-of-the-art AI models such as `gpt-3`, `bert-base-uncased`, `roberta-large`, `distilbert-base-uncased`, `albert-base-v2`, `tinybert`, `cybersecurity-bert`, `malware-detection-bert`, and `phishing-detection-bert`. | |
- **User-friendly interface with Gradio**: Develop an intuitive and user-friendly interface using Gradio to interact with the AI models, providing various input options such as text, file uploads, and real-time data streams for analysis. | |
- **Real-time monitoring and alerting**: Implement real-time monitoring capabilities to continuously analyze network traffic and system logs for potential threats, with customizable alert thresholds and notification methods. | |
- **Modular architecture**: Implement a modular architecture to allow easy integration and updating of AI models, input processing modules, and alerting and monitoring modules. | |
- **Integration with external threat intelligence feeds**: Fetch real-time data on emerging threats, vulnerabilities, and attack patterns from external threat intelligence services and open-source platforms like MISP and OpenCTI. | |
- **User customization options**: Allow users to set specific thresholds for different types of alerts, customize notification methods, and enable or disable specific AI models based on their requirements. | |
## Setup and Deployment | |
To set up and deploy the Cybersecurity AI Platform on Hugging Face Spaces, follow these steps: | |
1. **Create a Hugging Face account**: Sign up for a Hugging Face account if you don't already have one. | |
2. **Set up a new Space**: Go to the Hugging Face Spaces page and create a new Space. Choose the appropriate template for your project (e.g., Gradio). | |
3. **Clone the repository**: Clone the `githubnext/workspace-blank` repository to your local machine. | |
4. **Install dependencies**: Ensure you have all the necessary dependencies installed, including Gradio and the required AI models from Hugging Face Hub. | |
5. **Develop the platform**: Implement the cybersecurity AI platform as described in the task, including integrating AI models, creating the Gradio interface, and setting up real-time monitoring and alerting. | |
6. **Test the platform**: Thoroughly test the platform to ensure it works as expected and meets the requirements. | |
7. **Push the code to Hugging Face**: Push your code to the newly created Space on Hugging Face. This will automatically deploy your platform. | |
8. **Monitor and maintain**: Regularly monitor the platform for any issues and update it as needed to ensure optimal performance and security. | |
## Usage Examples | |
### Interacting with the Platform using Gradio | |
The Gradio interface provides an intuitive and user-friendly way to interact with the Cybersecurity AI Platform. Here are some examples of how to use the platform: | |
1. **Text Input**: Enter text for analysis, such as threat intelligence reports, system logs, or email content. The platform will process the input and display the results, including visualizations and detailed reports. | |
2. **File Uploads**: Upload files for analysis, including log files, configuration files, or email attachments. The platform will analyze the files and provide insights into potential threats or vulnerabilities. | |
3. **Real-time Data Streams**: Input real-time data streams, such as network traffic, for continuous monitoring and analysis. The platform will provide real-time alerts and visualizations to help you stay on top of potential threats. | |
### Customizing the Platform | |
The Cybersecurity AI Platform offers various customization options to meet your specific security requirements: | |
- **Alert Settings**: Set specific thresholds for different types of alerts and customize notification methods such as email, SMS, and in-app notifications. | |
- **Input Processing**: Customize input processing settings for different input options, including text, file uploads, and real-time data streams. | |
- **AI Model Selection**: Enable or disable specific AI models based on your requirements and configure model-specific settings such as confidence thresholds and analysis parameters. | |
By leveraging the power of advanced AI models and providing a user-friendly interface, the Cybersecurity AI Platform aims to enhance your cybersecurity capabilities and help you stay ahead of emerging threats. |