Abstract

For decades, email users have had to contend with junk mail as well as dangerous messages showing up in the inbox. The deluge of nuisance and malevolent messages that have targeted email users also now target mobile messaging users: spam, malware, phishing, and social engineering.

The problems are manifold for both the mobile network operator (MNO) and the user. Studies have shown that users are more likely to read and interact with mobile messages, including SMS, MMS, and RCS message types, than they are with email.

Legitimate traffic can present challenges as well. Application-to-Person (A2P) SMS traffic continues to grow. Unfortunately, some users attempt to bypass higher A2P message charges by sending this traffic on Person-to-Person (P2P) communications routes. This practice, known as using “grey routes,” deprives the MNO of legitimate revenue.

Since its founding nearly two decades ago, Cloudmark’s core focus has been messaging security. Over that time Cloudmark has built a security solution that leverages both artificial intelligence (AI) and machine learning (ML) to enhance and automate message security. Cloudmark supports various mobile messaging standards including SMS, MMS, and Rich Communications Services (RCS) messaging.