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Whitepaper
Verifying Identity in the Age of AI-Powered Impersonation
Generative AI has changed what counts as proof of identity. Cloned voices, deepfake video, and synthetic identity documents can now convincingly stand in for the sight and sound-based checks organizations have always relied on, and the technology to produce them is cheap, fast, and within reach of most attackers.
Verizon’s 2026 Data Breach Investigations Report found phishing is now the single largest use case for AI-assisted intrusion attempts, ahead of credential abuse and vulnerability exploitation combined. Meanwhile, a 56-study meta-analysis found humans can now only spot a deepfake video 57% of the time, barely above chance.
This whitepaper examines the AI-powered identity attacks organizations face today, the high-risk moments in the employee identity lifecycle that get overlooked, and a practical framework for stress-testing your own identity verification process.
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What you’ll learn
In this whitepaper, you’ll discover:
- The ways AI-powered impersonation is reshaping identity risk, including common attack types and real-world examples.
- Why traditional, credential-based verification methods are failing to keep pace.
- The high-risk moments in the employee identity lifecycle that organizations often overlook.
- A framework for stress-testing an organization’s own identity verification process against these risks.
- How organizations can build resilience against AI-driven identity attacks across the employee lifecycle.