No Room For Error: Proactively Protecting Patient Privacy With An Identity-First IAM Strategy

Healthcare organizations are struggling to sufficiently protect patient privacy. Although detecting the inappropriate access of protected health information (PHI) is required by HIPAA, it's nearly impossible for organizations relying on manual processes to monitor all access, especially with PHI being spread across multiple environments, including on-premise data centers, mobile devices and the cloud. Many users also require elevated access privileges, adding to the complexity.

To address this need, more healthcare organizations are realizing that automated machine learning (ML) tools can make a significant difference in improving compliance, detecting snooping and monitoring for inappropriate access. Yet, with limited cybersecurity budgets and resource shortages, investing in new technologies needs to be thoughtful, deliberately planned out and, above all, strategic.

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