AI-Driven Threat Intelligence in Healthcare Cybersecurity

Abstract

As the healthcare sector increasingly digitizes its operations, it becomes more vulnerable to cyber threats that can compromise sensitive patient data and disrupt critical services. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing threat intelligence capabilities within healthcare cybersecurity. By leveraging machine learning algorithms and data analytics, AI enables organizations to identify, assess, and respond to potential threats in real time. The integration of AI into threat intelligence systems facilitates the analysis of vast amounts of data from diverse sources, allowing for more accurate threat detection and prioritization. Furthermore, AI enhances predictive capabilities, enabling healthcare organizations to anticipate and mitigate risks before they materialize. This proactive approach not only strengthens the security posture of healthcare organizations but also ensures compliance with regulatory standards. The findings underscore the necessity for healthcare institutions to adopt AIdriven threat intelligence solutions as a critical component of their cybersecurity strategy.