Enhancing Healthcare Security with AI-Driven Identity and Access Management
Abstract: The healthcare industry faces critical challenges in Identity and Access Management (IAM), requiring robust security while ensuring regulatory compliance. Traditional IAM approaches often fail to meet evolving threats, necessitating AI-driven solutions for enhanced security and efficiency. This study explores the role of Artificial Intelligence (AI) in IAM, highlighting AI-driven authentication, fraud prevention, and risk-based access control. Using machine learning and behavioral analytics, AI automates identity verification, enhances compliance with HIPAA and GDPR, and mitigates unauthorized access risks. Through real-world case studies, this paper demonstrates how AI-based IAM strengthens security, reduces administrative overhead, and ensures seamless access control in healthcare.
Keywords: AI-Driven IAM, Cybersecurity in Healthcare, Risk-Based Authentication, Compliance, Identity Verification
How to Cite?: Mahendra Krishnapatnam, "Enhancing Healthcare Security with AI-Driven Identity and Access Management", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 835-838, https://www.ijsr.net/getabstract.php?paperid=SR25212205041, DOI: https://dx.doi.org/10.21275/SR25212205041