AI-based attacks are no longer theoretical threats; they are actively exploited by attackers across industries. This reality necessitates a significant evolution in cybersecurity solutions.
Current cybersecurity measures are inadequate against AI impersonation fraud due to their reliance on probabilistic detection, which is inherently flawed and allows too much room for error.
The traditional methods, including deepfake detection and user training, have shown limitations. Relying on users to identify deepfakes is unrealistic given the sophistication of current deception tactics.
A secure-by-design identity platform stands out as the essential defense against AI deepfake fraud, as it shifts focus from detection to preventing identity theft from the outset.
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