This report explores the challenges of managing a computing project focused on self-driving car security. It examines the vulnerabilities associated with data availability, confidentiality, and integrity in the context of autonomous vehicles. The report outlines a comprehensive project management plan, including cost, scope, time, quality, communication, risk, and resource considerations. It also delves into the application of qualitative and quantitative research methods to assess the impact of vulnerabilities on self-driving car performance and reliability. The report concludes with recommendations for mitigating security risks and enhancing the overall success of the project.