Ebook

How to Diagnose Digital Identity Fraud

How to Diagnose Digital Identity Fraud

Pages 13 Pages

The eBook explains how to detect and prevent four major types of digital identity fraud: account takeover, adversarial AI and deepfakes, MFA fatigue, and new account or hiring fraud. It describes how attackers exploit AI, phishing, bots, and stolen credentials to bypass security defenses, and outlines diagnostic indicators like unusual logins, device anomalies, and failed verification attempts. Recommended defenses include behavioral analytics, risk scoring, fraud detection, and identity proofing integrated within Ping’s IAM ecosystem. By using continuous verified trust and adaptive mitigation, organizations can identify threats early, protect digital identities, and maintain customer trust.

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