AI consultancy and outsourcing
Voice-based fraud has become one of the fastest-growing cybersecurity threats. Executives and customers are being impersonated through AI-generated voices, leading to financial losses and reputational damage. Cube developed an AI-powered detection system that identifies synthetic voices in real time. Using deep neural networks and spectrogram analysis, it flags cloned speech, assigns instant risk scores, and integrates directly into existing workflows across finance, telecom, and healthcare, securing every call and restoring customer trust.
We built an AI-driven verification system that detects synthetic voices instantly, helping enterprises prevent fraud, protect customers, and maintain secure, compliant interactions.
Deepfake voice scams exploit human trust to breach security and trigger financial fraud. Traditional authentication is too slow, manual, and easy to bypass, exposing organizations to rising risk in every customer interaction.
We esigned a real-time AI verification layer that connects to telephony, VoIP, and contact center systems, operating silently to authenticate every voice without changing how agents or customers interact.
AI Detection Engine – Deep learning models trained on thousands of authentic and synthetic voices, achieving 95%+ accuracy in real-world conditions.
Instant Risk Scoring – Each call is analyzed and classified in seconds with transparent risk metrics.
Workflow Integration – Seamlessly connects to CRM, KYC, and fraud platforms via secure APIs.
Compliance Ready – Built with enterprise-grade encryption, access control, and GDPR alignment.
AI-generated voices are nearly indistinguishable from real ones creating new challenges for trust and identity. Our solution detects deepfake voices in real time, helping enterprises secure every interaction, prevent fraud, and maintain confidence in digital communication.