About this webinar As healthcare organizations race to deploy AI-powered applications—from clinical decision support to ambient documentation—a critical question emerges: Who’s protecting the protectors? Large language models and AI systems introduce an entirely new attack surface that traditional vulnerability management programs weren’t designed to address. Prompt injection, model poisoning, excessive agency, and data exfiltration represent just the tip of an iceberg that could sink even the most sophisticated healthcare IT environments. Join Steve Wilson, the architect behind the industry-defining OWASP Top 10 for Large Language Model Applications and author of the award-winning “The Developer’s Playbook for Large Language Model Security,” for an unprecedented deep-dive into building a vulnerability management program purpose-built for the AI era. Drawing from his frontline experience leading AI security at one of the world’s premier cybersecurity companies, Wilson will reveal the specific vulnerabilities threat actors are exploiting today—and the practical defense strategies that actually work. Whether you’re deploying your first AI application or managing a mature AI portfolio, this session provides the actionable intelligence you need to protect your patients, data, and organization. What you’ll learn The vulnerabilities AI systems are exposed to right now Real-world attack methods targeting LLMs How to build a next-gen vulnerability management program that actually works

About this webinar Healthcare stands at an inflection point. AI promises to transform everything from clinical workflows to population health management, yet without thoughtful governance, that same technology can expose patient data, introduce clinical bias, and create compliance challenges that ripple across entire health systems. The organizations that will thrive aren’t those that adopt AI the fastest, but those that adopt it the smartest—with governance frameworks that protect what matters most while enabling innovation at scale. This session delivers the AI governance playbook healthcare CISOs, CIOs, CMIOs, and compliance leaders have been waiting for: practical, implementable, and grounded in real bedside and enterprise impact—not theory. What you’ll learn Practical AI governance strategies you can implement now Insights from real-world healthcare system transformation Lessons learned from the frontlines of AI risk

About this webinar Every healthcare CISO faces the same uncomfortable question from their board: “How do we know if our cybersecurity program is good enough?” The honest answer—historically—has been educated guessing. We’ve compared ourselves to frameworks, counted controls, and hoped we weren’t the next Change Healthcare. Meanwhile, AI has exploded across our organizations, introducing risks we’re only beginning to understand and certainly can’t yet measure. This session addresses the measurement challenge that undermines every cybersecurity program: How do you know where you truly stand? Drawing on his unprecedented national visibility into healthcare cybersecurity performance, Riggi will reveal the benchmarking strategies that actually correlate with resilience, the emerging frameworks for measuring AI risk, and the metrics that boards should demand. If you’re tired of defending your program with qualitative narratives and ready to lead with data, this session delivers the benchmarking intelligence you need.

About this webinar For decades, we’ve been promised that technology would give physicians more time with patients. Instead, we delivered EHRs that doubled the documentation burden and decision support tools that fire alerts no one reads. Now AI, real AI, not rule-based algorithms dressed in marketing language, is finally delivering on that promise. Ambient documentation that captures the clinical encounter. Predictive models that identify patients who need attention before they experience a crisis. Clinical decision support that actually supports clinical decisions. Dr. Hamed Abbaszadegan brings a perspective no AI vendor can match: he’s both a practicing internist who understands the realities of patient care and a clinical informaticist who has spent his career at the intersection of medicine and technology. As the former director of the Clinical Informatics Fellowship at the University of Arizona and a current physician executive shaping AI-powered clinical decision support for hundreds of hospitals, he has witnessed—and guided—the transformation firsthand. This session cuts through the hype to deliver what healthcare leaders and clinicians actually need: a clinician ‘s-eye view of AI that works.