This paper presents a systematic review of existing solutions for data breach mitigation in healthcare, analyzing 99 research papers. The digitalization of healthcare has increased the risk of cyberattacks, targeting sensitive personal information. The study highlights the growing emphasis on securing electronic health records, data storage, access control, and personal health records. Advanced technologies such as Blockchain, Artificial Intelligence, and encryption are being adopted to develop resilient solutions against cybersecurity threats, particularly hacking and unauthorized access. The research underscores the importance of technological progress in strengthening data security and stresses the need for continuous innovation in attack mitigation strategies. The healthcare sector is a prime target for cyberattacks due to the high commercial value of data. Common threats include ransomware, data-related threats, intrusion, DDoS attacks, supply chain attacks, and malware. The pandemic has also led to numerous data leaks, often involving malicious insiders or inadequate system configurations. The study identifies the need for reliable and scalable cybersecurity mechanisms to protect patient data and maintain trust in healthcare systems. The paper outlines the evolution of data breach mitigation solutions over time, emphasizing the increasing use of Blockchain and AI technologies. It also discusses the role of encryption and hash functions in securing healthcare data. The analysis reveals that most solutions focus on frameworks, architecture, algorithms, and models to address various types of attacks, including hacking, unauthorized access, and insider threats. However, many solutions lack technical implementation, and there is a gap in verifying their effectiveness. The study concludes that healthcare systems require advanced cybersecurity measures to protect sensitive data. The integration of Blockchain and AI is crucial for enhancing data security, while encryption and hash functions play a vital role in securing data storage. The paper also highlights the need for better cybersecurity training for healthcare professionals and the alignment of cybersecurity solutions with regulatory requirements. Future research should focus on improving IoT and cloud security, as well as developing specific cybersecurity training programs for healthcare employees. Advances in quantum computing may also pose challenges to current encryption methods, necessitating further research into secure encryption techniques.This paper presents a systematic review of existing solutions for data breach mitigation in healthcare, analyzing 99 research papers. The digitalization of healthcare has increased the risk of cyberattacks, targeting sensitive personal information. The study highlights the growing emphasis on securing electronic health records, data storage, access control, and personal health records. Advanced technologies such as Blockchain, Artificial Intelligence, and encryption are being adopted to develop resilient solutions against cybersecurity threats, particularly hacking and unauthorized access. The research underscores the importance of technological progress in strengthening data security and stresses the need for continuous innovation in attack mitigation strategies. The healthcare sector is a prime target for cyberattacks due to the high commercial value of data. Common threats include ransomware, data-related threats, intrusion, DDoS attacks, supply chain attacks, and malware. The pandemic has also led to numerous data leaks, often involving malicious insiders or inadequate system configurations. The study identifies the need for reliable and scalable cybersecurity mechanisms to protect patient data and maintain trust in healthcare systems. The paper outlines the evolution of data breach mitigation solutions over time, emphasizing the increasing use of Blockchain and AI technologies. It also discusses the role of encryption and hash functions in securing healthcare data. The analysis reveals that most solutions focus on frameworks, architecture, algorithms, and models to address various types of attacks, including hacking, unauthorized access, and insider threats. However, many solutions lack technical implementation, and there is a gap in verifying their effectiveness. The study concludes that healthcare systems require advanced cybersecurity measures to protect sensitive data. The integration of Blockchain and AI is crucial for enhancing data security, while encryption and hash functions play a vital role in securing data storage. The paper also highlights the need for better cybersecurity training for healthcare professionals and the alignment of cybersecurity solutions with regulatory requirements. Future research should focus on improving IoT and cloud security, as well as developing specific cybersecurity training programs for healthcare employees. Advances in quantum computing may also pose challenges to current encryption methods, necessitating further research into secure encryption techniques.