
Fake Voice Detection effectively distinguishes deep-fake or AI-generated cloned voices from genuine human voices during real-time calls. It marks machine-generated or cloned voices as SPAM, while providing a probability score to ensure accuracy in detecting fraudulent activities. This technology serves to protect individuals from unpredictable financial frauds.

Voice Analytics offers centralized, real-time detection of both genuine and spoofed voice-based phishing threats across all users—leveraging voice intelligence, aggregated risk scores, user-specific risk indicators, and monthly trend analysis to enable proactive scam monitoring and response.

Sample API request and response demonstrating extracted insights from the speaker’s voice within the submitted audio file.
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