Real-time video impersonation is breaking the traditional fraud-defense playbook . For developers working in computer vision and biometrics, the news regarding real-time deepfake software like Haotian AI isn't just another headline about a scam—it’s a fundamental shift in the threat model for remote identity verification. We are moving from a world where we defend against static "presentation attacks" (like holding up a photo or a screen) to defending against dynamic, low-latency generative inference engines integrated directly into the video pipeline. The technical implication for your codebase is clear: the "verify via video call" fallback is officially deprecated. If your current authentication flow relies on a human looking at a live video feed to confirm identity, your system is vulnerable to consumer-grade hardware running real-time pixel-swapping algorithms.…