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This presentation addresses the challenges of Multi-factor Authentication (MFA) bypass and explores AI-driven solutions for enhancing security. It begins with an overview of MFA vulnerabilities and their implications, followed by the motivation to bridge existing research gaps. A proposed system leveraging adaptive AI for anomaly detection is outlined, alongside its components, technologies, and testing methods. Key outcomes include improved threat detection accuracy and strengthened MFA...