Vi Introduces AI-Powered Spam SMS Identification Solution To Safeguard Customers

How Vi’s SMS spam solution works:

1. Real-time analysis: The system continuously analyzes incoming SMS messages using AI algorithms trained on millions of examples, identifying potential threats, including fraudulent links, unauthorized promotions, and identity theft attempts. Real-time monitoring allows for immediate action against suspicious activities.

1. Pattern Recognition: By leveraging sophisticated machine learning algorithms, the predictive system learns from incoming data patterns such as phishing links, unusual sender details, and phrases commonly used in spam messages to enhance its detection capabilities over time.

1. Spam tagging: Messages identified as spam will be tagged as ‘Suspected Spam’, to instantly warn the users, helping them make informed decisions about their communications. This intelligent approach not only enhances security but also ensures that genuine communications aren’t lost in a sea of unwanted messages.

1. Continuous improvements: Via Machine Learning, it will continually improve by adapting to new spam trends, improving accuracy and effectiveness. This means it evolves and adapts to new types of spam as they emerge, shielding users from new threats.

Benefits for customers

Enhanced safety: By flagging potentially harmful spam, the service empowers customers with the information of suspected spam messages, thus protecting them from potential phishing and scam attempts.