As up-to-date cyberattack techniques emerge and evolve, so must strategies for protecting AI systems in healthcare settings. And AI-based cybersecurity efforts in hospitals and healthcare systems must keep up.
CIOs, chief information security officers and other IT and security leaders need to learn how to bridge AI security with cyber defense, which means leveraging their synergies to drive progress in both areas, says Sunil Dadlani, chief information and digital officer at Atlantic Health System.
Dadlani will describe techniques for leveraging this interdependence to create an creative and resilient digital health landscape at the HIMSS AI in Healthcare Forum in Boston. His sessiontitled “Case Study: Dynamic Defense: The Interplay of AI Security and Cyber Threat Mitigation,” is scheduled for Thursday, September 5.
We recently interviewed Dadlani to find out more.
Q. What is the focus of the HIMSS AI in Healthcare Forum session and why is it essential in healthcare today?
AND. The session will focus on the critical need for secure AI systems in healthcare as AI becomes an integral part of standard care, impacting all aspects of the industry. Ensuring the integrity, confidentiality, and availability of AI technologies is paramount.
To enable safe and sound, trustworthy, ethical and lucid implementation of AI, it is vital to develop tough AI systems that protect against security flaws that could compromise patient data, clinical decisions and healthcare operations.
In addition, the topic highlights the key role of artificial intelligence in Improving Cybersecurity in Healthcare. As the industry rapidly transforms digitally, the integration of AI and cybersecurity has become vital. AI enhances security by enabling advanced threat detection and rapid response, identifying anomalies and potential breaches in real time.
On the other hand, powerful cybersecurity measures are crucial to protect sensitive patient data and ensure the integrity of AI systems used in diagnostics, treatment planning, and administrative tasks. This synergy between AI and cybersecurity not only protects against sophisticated cyber threats but also ensures the safe and sound and effective implementation of AI technologies in healthcare, leading to improved patient outcomes and operational efficiency.
Q. What is an example of this type of AI and cybersecurity in action in your organization?
AND. Examples include organizations using AI-based identity and access management (IAM) systems, advanced machine learning, and intrusion detection and prevention systems using deep neural networks.
These AI-powered systems enhance the security of our healthcare network by continually analyzing access patterns and user behavior to ensure only authorized individuals have access to sensitive patient information and key systems.
Q. What lessons do you hope session participants will learn and be able to operate in their supplier organizations?
AND. First, a comprehensive approach to AI security. Participants will learn the importance of taking a comprehensive approach to securing AI solutions in healthcare. This includes ensuring data security and privacy, implementing solid model development practices, and following secure implementation and integration processes.
By understanding these key aspects, participants will be able to effectively protect sensitive patient data and maintain the integrity of their AI systems, leading to safer and more reliable healthcare operations.
Secondly, cybersecurity defence and attack supported by artificial intelligence.
AI plays a dual role in cybersecurity, serving both defensive and offensive purposes. On the defensive side, AI enhances threat detection, response, and prevention by continuously monitoring network traffic and user behavior to identify anomalies in real time.
Automates incident response, quickly mitigating threats and minimizing damage. AI-powered predictive analytics anticipates potential threats, enabling proactive action.
However, AI is also being used offensively by cybercriminals to launch sophisticated attacks. They are using AI to automate phishing campaigns, develop advanced evasion techniques, improve social engineering attacks, and exploit vulnerabilities.
Understanding this dual role is key to implementing proactive AI-powered security measures, staying ahead of evolving threats, and continuously improving defensive strategies to protect against advanced cyberattacks.