It is a tool that makes use of Machine Learning to identify, analyze and provide metrics based on the characteristics of a device (User Agent, FingerPrint, IP, Coockies, etc.) and the connection behavior associated with a telephone line. Understanding the information of the device associated to a telephone line, its brand, OS, browser and device location.
Sword takes the device browser information in order to analyze its behavior across the time and give an accurate anomaly percentage of the requested device.
The main features or security levels of Sword are:
• It allows to improve the security of users so that they are not affected by identity theft. This is possible because Masivian has a priori and quality information that allows to generate systems to improve the relationship between users and entities.
• It allows understanding how users interact with the device. It is useful for understanding a user's mobility pattern, as well as identifying potential safe zones for the user.
1. Data updates: The risk associated with a device-related change is verified online**.**
2. Call center calls: Timely notice of fraudulent calls for activation, data updates, etc
3. Account opening: For the opening of digital accounts it is essential to detect applications with high risk of fraud.