As new cyberattack techniques emerge and evolve, strategies for protecting artificial intelligence systems in healthcare must evolve as well, and hospitals and health systems’ AI-enabled cybersecurity efforts must keep up.
Sunil Dadlani, chief information and digital officer at Atlantic Health System, said CIOs, CISOs and other IT and security leaders must learn how to bridge the gap between AI security and cyber defense, which includes leveraging synergies to drive progress in both fields.
At the HIMSS AI in Healthcare Forum in Boston, Dadlani will discuss techniques for leveraging this interdependency to create innovative, resilient digital health environments. The session, titled “Case Study: Dynamic Defense: The Interplay of AI Security and Cyber Threat Mitigation,” is scheduled for Thursday, September 5th.
We recently interviewed Dadlani for a preview.
Q. What is the focus of the HIMSS AI in Healthcare Forum session and why is it important in healthcare today?
A. This session focuses on the critical need for secure AI systems in healthcare as AI becomes integral to standard care and impacts all aspects of the industry. Ensuring the integrity, confidentiality, and availability of AI technology is paramount.
To ensure safe, reliable, ethical and transparent adoption of AI, it is essential to develop robust AI systems that protect against vulnerabilities that could put patient data, clinical decisions and healthcare operations at risk.
Additionally, this topic highlights the important role that AI plays. Strengthening cybersecurity in healthcare. As the industry rapidly digitizes, the integration of AI and cybersecurity is essential. AI enhances security by enabling advanced threat detection and rapid response, identifying anomalies and potential breaches in real time.
Conversely, robust cybersecurity measures are essential to protect sensitive patient data and ensure the integrity of AI systems used in diagnostics, treatment planning, and management operations. The synergy between AI and cybersecurity not only protects against advanced cyber threats but also ensures the safe and effective implementation of AI technologies in healthcare, improving patient outcomes and operational efficiency.
Q. What are some examples of AI and cybersecurity in action at your company?
A. One example is organizations leveraging the implementation of AI-based Identity and Access Management (IAM) systems with advanced machine learning and deep neural network-enabled intrusion detection and prevention systems.
these AI-driven systems enhance the security of healthcare networks by continuously analyzing user access patterns and behavior to ensure only authorized personnel have access to sensitive patient information and critical systems.
Q. What are some takeaways you hope session attendees will be able to take away and apply to their provider organizations?
A. First, a comprehensive approach to AI security: Participants will learn the importance of taking a comprehensive approach to securing AI solutions in healthcare, including ensuring data security and privacy, implementing robust model development practices, and adhering to secure deployment and integration processes.
Understanding these key aspects will enable participants to effectively protect sensitive patient data, maintain the integrity of AI systems, and enable safer and more reliable healthcare operations.
The second is AI-powered defense and attack in cybersecurity.
AI plays a dual role in cybersecurity, serving both defensive and offensive purposes: On the defensive side, AI continuously monitors network traffic and user behavior to identify anomalies in real time, enhancing threat detection, response, and prevention.
Automate incident response to quickly mitigate threats and minimize damage. AI-driven predictive analytics forecasts potential threats and enables proactive response.
But AI is also being leveraged 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 essential to implementing proactive, AI-powered security measures, staying ahead of evolving threats, and continually improving defensive strategies to protect against advanced cyber attacks.
Join us for this session at the HIMSS AI in Healthcare Forum, scheduled to take place September 5-6 in Boston. Learn more and register.
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