AI-DRIVEN CYBERSECURITY FOR TELEHEALTH PLATFORMS: SAFEGUARDING REMOTE HEALTHCARE
Keywords:
Telehealth Cybersecurity, Artificial Intelligence (AI), Healthcare Data Privacy, Automated Threat Detection, Regulatory ComplianceAbstract
This article explores the integration of artificial intelligence (AI) in enhancing cybersecurity for telehealth platforms. It examines the rapid growth of telehealth adoption, the associated security challenges, and how AI-powered solutions can address vulnerabilities in this domain. The article discusses key AI applications in telehealth security, including anomaly detection, real-time threat analysis, automated response systems, enhanced authentication, and natural language processing for policy compliance. Additionally, it highlights critical challenges in implementing AI for telehealth security, such as data privacy concerns, the need for explainable AI, managing false positives, combating adversarial attacks, and ensuring regulatory compliance. By presenting both the potential and limitations of AI in this context, the article provides a comprehensive overview of the evolving landscape of AI-driven cybersecurity in telehealth.
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