Health Leaders Need AI Know-how to Avoid Cyberattacks

At HIMSS25, Etay Maor, chief security strategist at Cato Networks, emphasized the cybersecurity risks of AI in healthcare. While AI enhances diagnostics, it also lowers the barrier for cyber threats, enabling hackers to exploit vulnerabilities. Maor highlighted feedback poisoning, where malicious actors manipulate AI models, and model extraction, where adversaries replicate AI systems. With patient data being a prime target for breaches, healthcare leaders must stay vigilant. He advised employing AI experts to anticipate and mitigate risks. As AI adoption grows, understanding its security challenges is crucial to protecting hospital systems and patient data. Leaders must proactively address AI-driven threats to ensure safe and effective healthcare technology implementation.

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At HIMSS25, Etay Maor of Cato Networks warned healthcare leaders about AI-related cybersecurity risks. While AI improves diagnostics, it also enables hackers to exploit vulnerabilities through feedback poisoning and model extraction. With patient data as a prime target, hospitals face increased risks of breaches. Maor emphasized the need for AI expertise to mitigate these threats. As AI adoption grows, proactive strategies are essential to safeguard hospital systems and sensitive data. Healthcare leaders must stay ahead of emerging cyber threats to ensure secure and effective AI-driven healthcare solutions.


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