The Med Device Cyber Podcast

How AI Code Security Became a Medical Device Problem with Jun Xiang Tan


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Ten years ago, Singapore's healthcare system got hacked. Patient records were stolen at a national scale. The government responded by building one of the most comprehensive medical device security frameworks in the world.

The Cybersecurity Labeling Scheme has four tiers. Level one means basic security controls exist. Level four means the device underwent independent code review, has advanced threat detection, and maintains continuous vulnerability management. Hospitals can see exactly what level of security they're getting before they buy.

Jun Xiang from CareHero explains why this matters, especially now that AI is showing up in medical devices without proper testing. He covers adversarial attacks on medical images, why doctors are uploading patient data to ChatGPT, and what automation bias does to clinical decision making.

Practical conversation about medical device security in Southeast Asia and what manufacturers need to know about Singapore's approach.

Episode Breakdown:

00:01 Welcome

00:31 Background

01:09 Military service

03:09 AI threats

03:45 23% problem

04:40 X-rays ChatGPT

05:43 Attacks

08:15 Poisoning

11:30 Hallucinations

14:20 AI code

17:45 Vulnerabilities

20:30 Pair programming

23:15 Guardrails

26:40 Automation bias

28:50 AI scribes

31:20 Dialects

34:05 Pre-triage

36:32 Pricing

37:25 Pair programmer

37:40 Human interpretation

The Med Device Cyber Podcast is brought to you by Blue Goat Cyber, cybersecurity experts providing essential security solutions for the medical device industry.

Learn more by visiting https://bluegoatcyber.com

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Christian Espinosa is the CEO and Founder of Blue Goat Cyber.

Trevor Slattery is the Chief Operating Officer at Blue Goat Cyber.

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The Med Device Cyber PodcastBy Blue Goat Cyber