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Research Paper | Information Security | United States of America | Volume 14 Issue 2, February 2025 | Rating: 6.3 / 10
Enhancing Healthcare Security with AI-Driven Identity and Access Management
Mahendra Krishnapatnam
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
Edition: Volume 14 Issue 2, February 2025,
Pages: 835 - 838