AI-Based Attacks , Artificial Intelligence & Machine Learning , Fraud Management & Cybercrime

Healthcare organizations face mounting cybersecurity pressure as emerging artificial intelligence tools, such as Anthropic Claude Mythos and others, dramatically accelerate the discovery and exploitation of software vulnerabilities, said Jason Elrod, CISO at MultiCare Health System.

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To keep up, healthcare providers must move beyond traditional vulnerability management and adopt faster, resilience-focused security models to protect patient care operations, he said.

Healthcare organizations must assume systems will become compromised and focus on limiting exposure through microsegmentation, zero trust architectures and stronger identity controls. That change compresses response times from days or weeks to minutes or hours.

"The moment that happens, you've got 20 to 30 minutes, maybe 24 hours tops in this new world. So, the velocity is really what has been the impact,” Elrod said. "I have to assume that something's going to be compromised now. And I have to assume it's going to be compromised faster in a way that I never could have expected."

In this video interview with ISMG, Elrod also discussed:

• How AI risks and threats are forcing security teams to become more agile;
• Why microsegmentation and zero trust strategies are gaining urgency;
• The proposed update to the HIPAA security rule and what it means in the face of emerging AI-related risks and threats.

Elrod leads cybersecurity at MultiCare Health System, which operates 300 primary, urgent, pediatric and specialty care locations across Washington, Idaho and Oregon, as well as 13 hospitals. He has over 30 years of experience building, leading and maturing IT and information security programs in multibillion-dollar organizations. Elrod is also executive advisor at security firm Elisity.