Definition of Telecom Fraud Management and Its Types

Telecom Fraud Management :

In times of constant change and increasing demand, it is important for telecoms to be flexible and adapt quickly to the ever-changing environment. And while service providers do adjust their services, products, and even employees to these changes, they often forget about one vital part – security. This form of taking effective measures and using advanced mechanisms to protect from telecom fraud is Known as Telecom fraud Management or Telecom Fraud detection

Types of Telecom Fraud Detection :

Embedded Fraud Management

Embedded fraud management in telecoms can provide a CSP with a real market advantage. It works inside the organization, processes data and detects potential or actual fraud in real-time, and provides guidance for actions the system/operator should take. As we all know, time really is money in fraud management because the faster we react, the less potential damage can occur.

AI/AX Fraud Management: Advanced artificial intelligence and machine learning (AI/ML) technologies are rapidly replacing traditional systems in fraud management. One of the most effective strategies that telcos utilize is to use machine learning classifiers, which account for complex relationships between many attributes. Periodic training of these classifiers allows them to account for changes in fraudster behavior. Using machine learning means there is no need for manual creation of very complicated rules because the classifiers are learned on the basis of known example