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Imagine being a cybersecurity expert with a super-smart assistant helping you protect small businesses. That's exactly the goal of a new framework that combines students and AI to create customized security solutions. The project, developed in a master's program, follows four stages: AI agent development, cybersecurity roadmap creation, resource development, and real-world application. Students work with generative AI tools and specialized agents to create templates, training materials, and client deliverables. This approach not only helps small businesses protect themselves from cyberattacks but also allows students to learn practically and contribute to research in the field. An innovative way to combine study and real impact!

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The proposed framework integrates generative AI tools and specialized agents with human expertise to create customized cybersecurity solutions for small businesses. The first phase involves developing AI agents capable of analyzing business data and identifying vulnerabilities. In the second phase, students create a personalized security roadmap using the information gathered by the AI agents. The third phase focuses on developing educational resources and practical tools, such as security policy templates and employee training guides. Finally, in the fourth phase, the solutions are implemented in businesses, allowing students to see the concrete impact of their work. This dual-track approach enables continuous improvement of the solutions and adaptation to the evolving cybersecurity landscape.

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Authors:
Ka Ching Chan
Date Published:
Original Article www.mdpi.com
Fact-check verified on 03/11/2025
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Creative Commons License CC BY-NC-SA 4.0

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