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HSCC AI Security Efforts Preview – Ep 537 

 November 28, 2025

By  Donna Grindle

If you thought AI in healthcare was just about cool robots and faster diagnoses, surprise! There’s a whole army of volunteers wrangling the chaos behind the scenes, and our own Donna Grindle is leading the charge. In this episode, we take a peek into the AI cyber-security kitchen of the Health Sector Coordinating Council, where they’re cooking up definitions, glossaries, and playbooks faster than AI can generate cat videos. It’s education, governance, and cyber-risk planning, all served with a side of snark and sincerity.

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HSCC AI Security Efforts Preview – Ep 537

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HSCC AI Security Efforts Preview

Artificial Intelligence 2026 Guidance Previews

We’re jumping into the ever-changing world of AI security in healthcare with a sneak peek at what the Health Sector Coordinating Council (HSCC) has been cooking up. Donna, who’s deep in the trenches with the HSCC’s AI Security Efforts Committee, breaks down how they’re tackling the wild world of AI risks head-on.

To keep things organized (and sane), HSCC has spun up several task groups and subgroups, including an AI Education and Enablement crew led by Donna herself. Their mission? Help healthcare professionals wrap their heads around everything from AI agents and generative tech to issues like bias, privacy, and making sure we can actually explain how these systems work. Oh, and they’re even building a shared glossary, because using the same words the same way across the board turns out to be kind of important when AI’s involved.

Let’s dive in:

  • [01:14]”] “Fight Club” Rules of HSCC AI Work:
    • The challenges of keeping AI guidance up to date in a rapidly evolving tech landscape.
    • How over 15 initial ideas were condensed into 5 AI subgroups to tackle education, governance, resilience, and more.
    • What the AI Education & Enablement (Donna’s Subgroup) does, why it matters, and how it supports the rest of the working groups.
    • Volunteer experts from across the healthcare sector are shaping AI governance, security, and education.
  • [08:18] Top 10 Glossary Terms:
    • AI vs. AI Agents: A lasagna-and-grocery-store analogy to explain what AI agents are and why you need to understand them.
    • Algorithm: Step by step instructions that computers follow to solve a problem.
    • Artificial Intelligence: Systems that mimic human intelligence to perform tasks.
    • Bias: When the results are unfair due to errors in data or design.
    • Data Privacy: Protecting sensitive information used in AI systems.
    • [24:11] Explainability in AI: Ability to understand and explain how an AI system makes decisions in a way that humans can follow.
    • Generative AI: AI that can create new content (such as text, images, video) based on input and learned patterns.
    • Hallucinations: When AI generates false or misleading information.
    • Large Language Models (LLMs): AI that’s trained on vast amounts of text to understand and generate language.
    • Machine Learning: AI that learns patterns from data instead of being directly programmed.
  • [39:51]”] Overview of Other AI Subgroups:
    • Education and Enablement
    • Cyber Operations & Defense
    • Governance
    • Secure by Design
    • Third-party AI Risk and Supply Chain Transparency

This is your early-access peek into the first wave of AI cybersecurity publications designed to help healthcare organizations use AI safely, ethically, and effectively. And yes, the clock is ticking. These guidance documents and playbooks are set to start rolling out in Q1-Q2 2026, so now’s the time to get familiar with what’s coming.

And there you have it – your insider scoop on how healthcare is tackling AI security before it tackles us. With a full slate of subgroups working overtime (mostly on coffee and goodwill), the HSCC is building a foundation to make sure AI works for healthcare, not against it. Thanks to folks like Donna and the rest of the HSCC volunteers, we’re not just flying blind into the AI storm. We’ve got people laying down the groundwork so your next AI-powered diagnosis doesn’t come with a side of hallucination and a data breach.

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