Enhancing Data Protection in Healthcare: AI Driven Cybersecurity Solutions for Safeguarding Sensitive Patient Information

Abstract

As more healthcare data is stored in digital formats, the industry pursues a pathway to an imperative enhancement in providing better patient care while developing evergrowing cybersecurity risks. This study examines the potential of AIbased cybersecurity solutions to help protect health data. With the constantly evolving cyber threats, protecting against these new attack methods is challenging for even mature traditional security solutions hence it requires a more advance and dynamic approach. AI has the ability to analyze massive volumes of data, identify patterns that are indicative of being compromised and subsequently provide automated threat detection and response in real time.In this paper, you will analyse different security mechanisms of AI healthcare applications (IDS, Malware analyser,VMS). We examine how machine learning algorithms can alert of deviant behavior, forecast possible threats and prevent risks in advance. We also touch on some advantages of AIpowered solutions including accurate threat detection, lower response time and better security posture. Other takeaways from the research include some of the difficulties in deploying AI for healthcare cybersecurity, including those related to privacy and data protection concerns .