The increasing use of AI in healthcare and its associated security risks require organizations to adopt proactive defense strategies. The difficulties lie not only in the high cost of data breaches but also in managing new risks related to AI systems. Comprehensive strategies should include threat modeling, secure system architecture, adherence to risk management standards, and vigorous auditing. Vigilance in post-implementation operation through AI-monitoring and user trust through Explainable AI are also crucial. Integration of such measures alongside continuous training and traditional cybersecurity controls can ultimately build resilience and cultivate trust in AI systems.
Endpoint Security Expert Improves Healthcare Network Safety
Narasimha Rao Alugoju, a cybersecurity architect, is advancing healthcare cybersecurity. His compliance-first endpoint security frameworks and enhancement of Microsoft Intune’s capabilities help protect sensitive patient
