Theft of personal data is a significant security issue that arises with the use of self-driving vehicles. As these vehicles become more prevalent, the amount of personal data they collect and store increases, making them an attractive target for cybercriminals. According to a study by Kshetri and Voas (2018), self-driving vehicles collect a vast amount of data, including location, driving patterns, and personal information of passengers. This data can be used for various purposes, such as improving the vehicle’s performance, enhancing the driving experience, and providing personalized services. However, it also poses a significant risk of theft and misuse. Smith (2018) notes that cybercriminals can use stolen personal data for identity theft, financial fraud, and other malicious activities. Therefore, it is crucial to ensure that self-driving vehicles have robust security measures in place to protect personal data. As stated by Kshetri and Voas (2018), “the security of self-driving vehicles must be a top priority for manufacturers, regulators, and policymakers” (p. 10). This includes implementing encryption, authentication, and access control mechanisms to safeguard personal data from unauthorized access and theft. As the use of self-driving vehicles continues to grow, it is essential to address the security concerns associated with them to ensure the safety and privacy of individuals.