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README.md
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license: apache-2.0
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tags:
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- agent-demo-track
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short_description:
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---
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# TDA Agent
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# Development setup
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license: apache-2.0
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tags:
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- agent-demo-track
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short_description: AI-driven TDAgent to automate threat analysis with MCP tools
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---
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# Hackathon Participation: Cybersecurity AI Agents
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This project is our contribution to Tracks 1 and 3 of the [Agents-MCP-Hackathon](https://huggingface.co/Agents-MCP-Hackathon), focused on applying AI technologies in the cybersecurity domain. Our aim is to develop solutions that improve the operational efficiency in cybersecurity through automation and data-driven insights.
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## Team Overview
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Our team is part of the AI division in our company's cybersecurity department. We focus on implementing AI-based solutions to assist cybersecurity operations. Our team members include:
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- **Pedro Completo Bento**
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- **Josep Pon Farreny**
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- **Sofia Jeronimo dos Santos**
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- **Rodrigo Dominguez Sanz**
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- **Miguel Rodin**
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## Project Goals
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We are exploring the application of AI agents to aid cybersecurity analysts in threat data enrichment and threat analysis. Our main goals are:
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1. To experiment with agentic technologies like Gradio and MCP.
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2. To explore how AI can improve data enrichment capabilities in threat analysis.
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3. To develop autonomous agents capable of API interaction, data enrichment, and threat evaluation.
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## Track 1: MCP Tool / Server
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In Track 1, we developed **TDAgentTools**, a Gradio-powered MCP server offering a set of public cybersecurity intelligence tools. This tool is designed to assist cybersecurity professionals in their threat analysis and response tasks.
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Access TDAgentTools here: [TDAgentTools Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgentTools)
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## Track 3: Agentic Demo Showcase
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For Track 3, we created **TDAgent**, an AI agent with a chat interface that connects to MCPs, defaulting to TDAgent MCP. The agent utilizes **TDAgentTools** or other MCP servers to gather additional threat intelligence, providing enriched data for more comprehensive threat evaluations.
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## Usage and Purpose
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- **TDAgentTools**: Provides cybersecurity professionals with essential analysis tools via a user-friendly interface.
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- **TDAgent**: Facilitates interactive AI-supported threat analysis, enhancing efficiency, by leveraging data from MCP servers for improved insights.
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Our work aims to reduce the manual effort involved in threat analysis, allowing cybersecurity teams to focus on strategic activities by utilizing AI for operational tasks.
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## Conclusion
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This project seeks to demonstrate the practical applications of AI agents in cybersecurity, providing tools and frameworks to improve security operations.
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# TDA Agent
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# Development setup
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