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Significant Security Risks in Health Care Companies
Description
What are the biggest security risks when using AI in healthcare?
In this trailer, we explore why healthcare is both high risk and high reward when it comes to AI adoption.
Learn the two most critical risks:
Data leakage — where sensitive patient data may be exposed, reused, or improperly accessed
Integrity of AI outputs — where inaccurate or unreliable results can impact diagnosis and treatment decisions
With AI systems increasingly handling protected health information, the risks are real. Sensitive data can be exposed through breaches, misuse, or even model behavior if not properly controlled
You’ll also discover practical steps organizations can take:
Strengthen vendor controls and agreements
Understand evolving regulatory requirements across regions
Implement structured AI governance frameworks like ISO 42001
👉 Watch the full episode to learn how to secure AI systems, protect patient data, and ensure trustworthy outcomes in healthcare.
RESOURCES
Websites www.fit4privacy.com,www.punitbhatia.com, https://stackaware.com/ , https://www.linkedin.com/in/walter-haydock/ , https://growskills.store/
Podcast https://www.fit4privacy.com/podcast
Blog https://www.fit4privacy.com/blog
YouTube http://youtube.com/fit4privacy
Insights https://growskills.store/insights/
ISO Standard Courses at https://growskills.store/courses/