How CloneX Works
Step 1: Deep Learning Detection
- Employs neural networks to detect irregularities consistent with voice synthesis. 
- Utilizes spectrogram analysis to identify subtle, imperceptible changes in audio waves. 
Step 2: Instant Alerts
- Flags potential threats in real-time. 
- Sends alerts to administrators or relevant personnel, along with confidence levels and supporting analysis. 
Step 3: Continuous Improvement
- Learns from flagged and confirmed threats to improve detection accuracy. 
- Incorporates feedback from users and threat intelligence sources. 
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