AI-Powered Cybersecurity for Safeguarding Electronic Health Records from Deepfake Biometric Attacks

 

 

 I’m excited to share my latest research publication now available on ResearchGate:
🔗 Read the full paper here

In this white paper, I explore a critical and emerging threat in healthcare cybersecurity — the risk of deepfake biometric attacks targeting Electronic Health Record (EHR) systems.
As healthcare organizations increasingly adopt biometrics like facial recognition and voice authentication for user access, adversaries are beginning to exploit AI-generated deepfakes to impersonate legitimate users.

This paper introduces an AI-powered cybersecurity framework designed to safeguard sensitive healthcare data by integrating real-time liveness detection, behavioral biometrics, and anomaly risk scoring into EHR authentication workflows.
I also discuss key challenges, system architecture, and future directions for securing healthcare identity systems against evolving deepfake threats.

🔹 If you are working in healthcare cybersecurity, identity management, or AI risk mitigation, I welcome your feedback and thoughts on this important and fast-evolving area!

Thank you for reading and engaging with this important topic.
Feel free to share your insights or experiences related to biometric security!