The main goal of this project is to build an AI-Driven Cybersecurity Risk Assessment Application that supports multiple industry-standard Frameworks including privacy laws. This will involve several different steps for the learners, including:

- Researching existing industry-standard frameworks and privacy laws.

- Collecting Data

- Curating Data

- Validating the Accuracy of Data

- Developing an AI-Driven Application model to assess cybersecurity risks using underlying foundational LLM's. Train and Fine-tune Model

- Enhancing UI/UX Design and functionality of a current MVP Application

By the end of the project, learners should demonstrate:

- Understanding of existing industry-standard frameworks for information security and privacy laws.

- Practical experience with Azure OpenAI Services, GitHub, SQL Database, LLM's, Prompt Engineering, UI/UX Design (Figma), Node.js, CSS, HTML, Application Security, Application Architecture Design, Security Protocols

- Practical experience building AI-Driven Cybersecurity Application.

-Model Training and Fine-Tuning

- Identification of areas for future improvement

- Application Testing

Final deliverables should include:

- A written report explaining the design process and outcomes.

How will you support learners in completing the project?

Will provide access to tools and technology, access to data. Will provide Weekly mentoring meetings and exposure to industry best practices.

What skills or technologies will help learners to complete the project?

Skills needed to successfully complete the project include:

- AI LLM's - ChatGPT, Claude and others

- LLM and ChatGPT API's

- Node.Js

-JSON

- Github

- Azure OpenAI Services

- Azure Cloud - SQL Database

- OWASP Top 10

- OWASP Zap

- Figma

IRM Consulting & Advisory will support student learners in completing this project by providing a access to latest tools and technologies and mentorship. This includes software development best practices and project management skills.