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Why securing LLMs requires more than technical controls – and how Human Risk Management closes the gap between what AI can do and what the workforce will do. AI agents now share access, data, and decision authority with the people who deploy them. They make calls to internal systems, generate code, send communications, summarize documents, […]

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What cybersecurity risks are most unique to laboratory environments compared to other healthcare settings and are labs often overlooked in enterprise security strategies? Phil Englert, Health-ISAC VP of Medical Device Security, discusses three major risks that laboratories should be aware of and some recommendations. Read the article in Medical Laboratory Observer. Read More<...


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Healthcare organizations want to collaborate, compare approaches and strengthen cybersecurity coordination. That depends on trusted relationships and mechanisms that allow them to act collectively when a shared dependency fails. By Errol Weiss , Health-ISAC | August 6, 2026 | 2:57 PM This past month, health organizations across the U.S. conducted Operation Vital Signs, the in...


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There are major risks with allowing Chinese LLMs to code for U.S. applications. The first link in the software supply chain is no longer the code. It’s the AI models behind it. As U.S. developers increasingly rely on AI to generate, debug, and secure code, we must confront a fundamental question: can the AI models […]

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AI is the stuff of productivity dreams—and security nightmares. Think of AI agents as curious, genius, sociopathic 5-year-olds. They will explore every corner of your hybrid identity system, looking for ways to get in and take control. To protect your business-critical functions, you must understand how AI agents work, add risk, and exploit vulnerabilities—and how […]

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