AI Security Risks: Cybersecurity, National Risk, and the Future of Work

Anitha Mareedu, a Network Security Engineer at Cadence, examines the cybersecurity landscape that accompanies healthcare AI adoption. From emerging threat vectors to national security implications, the conversation lays out what healthcare leaders must understand about the risks that come with connecting clinical systems to intelligent platforms.

AI adoption in healthcare expands the attack surface in ways that traditional security frameworks were not designed to address. Adversaries can now attack not just data and infrastructure but the AI models themselves through poisoning, adversarial inputs, and manipulation of training data. National security implications of healthcare AI vulnerabilities are underappreciated in boardroom conversations.

Topics covered: AI-driven cybersecurity risks, expanding attack surfaces in healthcare AI, workforce transformation in the age of AI security threats, national security dimensions of healthcare data, and what healthcare leaders must prioritize to protect patient data and clinical systems.