In today's data-driven world, organizations are increasingly adopting AI technologies to enhance their operations. However, the security of AI infrastructure is paramount to prevent data leaks and ensure the integrity of AI projects. This project aims to architect and build a secure, enterprise-grade AI infrastructure that can be utilized within an organization. The primary goal is to explore three different architectural options for building this infrastructure, evaluate their strengths and weaknesses, and recommend the most suitable approach. Once the best option is selected, the team will stand up the environment and develop a sample AI solution to demonstrate its security features (audit, logging, authentication, etc). This project provides learners with the opportunity to apply their knowledge of AI, cybersecurity, and infrastructure design in a practical setting, ensuring that the AI projects are secure and compliant with organizational standards.

The project deliverables include a comprehensive report detailing the three architectural options explored, along with a recommendation for the best approach. Additionally, the team will deliver a fully operational secure AI infrastructure environment. A sample AI solution will be developed and demonstrated to showcase the security measures implemented. The final presentation will include a demonstration of the environment and the AI solution, highlighting the security features and benefits.