When your authentication system runs on neural embeddings, traditional security models break.
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The Threat Model
Adversarial perturbations can shift an embedding just enough to bypass cosine similarity thresholds without producing audible artifacts.
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Our Defense Stack
- Liveness Detection: Multi-modal challenge-response with spectral analysis
- Anti-Spoofing: Acoustic environment fingerprinting
- Embedding Security: Differential privacy on stored voiceprints
- Monitoring: Anomaly detection on authentication patterns