Adaptive cybersecurity: AI-driven threat intelligence in healthcare systems
Oleksandr Kuznetsov, Emanuele Frontoni, Natalia Kryvinska, Dmytro Prokopovych-Tkachenko, Boris Khruskov · 2024
This chapter provides an exploration of adaptive cybersecurity strategies in healthcare, focusing on the integration and impact of Artificial Intelligence (AI). In an era where cyber threats are increasingly dynamic and sophisticated, traditional defensive measures in healthcare cybersecurity are often found lacking. This chapter addresses this gap by highlighting the development and implementation of AI-driven threat intelligence platforms, which represent a paradigm shift from reactive to proactive and predictive cybersecurity models. The core of the chapter is the detailed examination of AI-driven platforms, which are designed to continuously learn from a vast array of data sources, adapt to evolving cyber threats, and predict future vulnerabilities. This involves a deep dive into the integration of various AI technologies such as machine learning algorithms for anomaly detection, natural language processing for efficient and effective threat intelligence gathering, and neural networks for advanced predictive analytics. These technologies collectively enhance the capability of healthcare systems to detect, analyze, and respond to cyber threats in real-time, thereby significantly improving their security posture. Furthermore, the chapter delves into the ethical considerations and potential biases inherent in AI-driven cybersecurity solutions. It discusses the importance of maintaining a balance between enhancing security measures and protecting patient privacy, a critical concern in the healthcare sector. The ethical implications of data usage, algorithmic transparency, and the need for unbiased AI models are thoroughly examined. Through a series of illustrative case studies, the chapter demonstrates the real-world effectiveness of adaptive cybersecurity strategies in healthcare. These case studies provide insights into how various healthcare organizations have successfully implemented AI-driven solutions to combat cyber threats, highlighting the practical challenges and successes encountered. In summary, this chapter offers a comprehensive overview of the role of AI in transforming cybersecurity within healthcare. It presents a balanced view of the technological advancements, ethical considerations, and practical applications of AI-driven cybersecurity, making it a valuable resource for professionals and scholars in the field of healthcare cybersecurity.