The integration of AI into healthcare necessitates the use of vast amounts of sensitive patient data. These systems in healthcare rely on extensive datasets to function effectively and accurately. While AI offers significant benefits in terms of both efficiency and improved health outcomes, it also raises serious concerns about privacy breaches and data security. As this technology practically thinks for itself, people will likely not trust AI with their personal data. As of now, things like someone’s medical diagnoses, medication lists, lab results, etc. As stated previously, these systems require massive datasets and the combination of the sheer volume and sensitivity of this data make it a prime target for cyber attacks and unauthorized access. Without public knowledge to the patient, and most likely the medical professional as well, only few are aware of how this information is stored, accessed, and shared making it very difficult to fix breaches further creating a gold mine for hackers alike. This breaching can occur due to hacking, inadequate security measures, or insider threats. Unauthorized access to patient data can lead to a variety of negative consequences, including but not limited to: identity theft, financial loss, and damage to an individual’s reputation. Ensuring the protection of such patient data is absolutely crucial to maintaining trust and compliance with regulatory standards as well as to mitigate these risks and safeguard patient privacy. That being said, securing healthcare data involves several challenges. The artificial intelligence systems need to be designed with extremely strong encryption methods to protect data both in transit and at rest. The people managing this data as well as the people who have their data stored there, will most definitely not trust more AI systems to do this job. Rather, people will need to manage this personal information and regular security audits and vulnerability assessments are necessary to identify and address potential weaknesses in the system. Additionally, implementing multi-factor authentication and strict access controls can help prevent unauthorized access to sensitive data.