SMS Analysis

SMS Analysis is part of a comprehensive A2P solution which helps to classify messages by sender through analysis of the SMS content and composition. SMS Analysis is also used to stop SMS Spam and SMS that can contain malicious links by identifying them and modifying the content with a warning before final delivery to the subscriber.

Unified or Independent

SMS Analysis can be deployed standalone or can be complemented with additional protocols as additional modules of the Protect Unified Signalling Firewall as needed in the future.

Uses REST API integration

All Cellusys products support virtual deployment or can be installed on our customised servers.

Automatic Classification

Messages with similar content can be grouped into message signatures and then content tags applied either by an administrator or automatically based on minimum ratios and message count. This allows automatic classification of A2P, P2P, and Spam.

The firewall can then take appropriate action based on content and route (such as blocking or logging). Administrators are able to define rules based on both SMS type and content tags. Operators are able to build an in-depth report of the messages and content entering the network.

Accessible Reporting

Equipped with powerful (yet agile) reporting and alerting features, not only will your network be secure, you can be sure to have the most accurate information about your SMS traffic and security at your fingertips.

Customise real-time alerts to be notified the moment a threat occurs.

Everyone on your team can be provided proper access levels and customise reports to suit their individual needs (no matter their level of technical expertise) thanks to the intuitive GUI.

Easily set alerts or publish reports as broad as full message logging or specific to each enterprise or kind of SMS being sent (e.g. One-Time-Password, Retail, Promotion etc.). Troubleshoot VIP SMS complaints and monitor message volumes with the touch of a button.

Grey Route Test

How much A2P traffic are you missing?

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