Telecommunication fraud, including SMS scams and smishing attacks, is increasing, leading to financial losses and data breaches. Existing fraud detection systems often rely on cloud services, raising privacy concerns and creating delays in threat detection.

YAL.AI is an AI-powered application designed to detect and prevent telecommunication fraud directly on user devices. By utilizing on-device machine learning models, YAL.AI identifies SMS scams and smishing attacks with high precision while ensuring user privacy. The application processes data locally, eliminating the need for external transmission and providing real-time alerts. Its AI models continuously adapt to new threats, offering proactive protection against emerging scams.

Real-time fraud alerts during calls to prevent fraud.

Offline content understanding: raw data never leaves the user device.

SMS fraud detection: scans all incoming messages for scams.

Prevents zero-day scams using advanced AI models.

Zero-trust architecture ensures continuous verification for enhanced security.

AI model trained on extensive fraud datasets achieves 95% precision in detecting SMS fraud and smishing.

Continuous adaptation through real-time learning enhances the ability to neutralize emerging threats.

The primary users are individuals seeking enhanced security against telecommunication fraud, particularly SMS scams and smishing attacks, who prioritize data privacy and real-time threat detection.