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With the growth in digital services, the telecom market is becoming highly saturated with very high subscriber switch rates. Increasingly, CSPs are finding it challenging to retain customers, even with innovative products and services. Amidst all this, subscription fraud continues to be ever-present in this sector. It acts as the gateway to many other telecom fraud scams and, as such, is recognized as the most damaging of all non-technical fraud types. This digital era has given fraudsters a huge opportunity, opening the door to millions of personal credentials readily available on the dark web.

It is now far easier for fraudsters to hide behind false details and cover up their tracks. Perpetrators don’t just stop with obtaining legitimate service illegitimately; they usually use it as a precursor to other types of fraud such as Revenue Share Fraud, Bypass Fraud, and Roaming fraud. The effect can be catastrophic in revenue losses, escalating complaints, poor customer experience, dissatisfaction among support staff, and diminishing investor confidence.

Thus, it is vital to stop fraudsters at the point of origination. But there is a harsh truth that while data and technology in the fraud business abound, real domain expertise is scarce. Mobileum stands apart in the current marketplace in terms of its offerings and its risk management domain expertise. Mobileum offers a pre-configured subscription fraud management solution, allowing CSPs to audit and control all traffic CDRs generated at the network along with subscriber KYC data such as demographic details, location details, service entitlements or activations, and billing history. This advanced intelligence provides operators with detailed identity risk profiles, which are required to quickly detect complex and elusive fraudulent patterns, reducing fraud detection time and losses by 90% or more.

Another advantage of Mobileum’s subscription module is that it provides a multi-layered approach for combating fraud by combining Artificial Intelligence and Machine Learning with an extensive rules library. These well-defined rules library allows CSPs to create their desired business rules. Rules can be very effective in mitigating fraud risk. Telecom fraud analysts are comfortable with this approach because they can utilize human intelligence and set common-sense parameters for the telecom business. However, not having the right rule can result in false positives, false negatives, or even a fraudulent attack flying below the radar.

Unlike rules, machine-learning models can account for changing fraudulent behaviors as they evolve. The Mobileum offering is unique compared to other players in the marketplace, offering highly trained ML models for detecting unknown fraud attacks or fraudsters hiding below the defined rule boundaries. Using AI/ML technology, the system can perform multiple web crawls to detect compromised personal information, such as social security number, driver’s license, phone number, or email addresses, during the opening of accounts and product and service activations. The solution also provides different online identification & validation methods, including knowledge-based validation, phone authentication, address validation, one-time password use, and common usernames to enhance electronic identification and trustFinally, all of the derived cases, both from the rules as well as ML models, are presented to the business users via a well-defined and highly interactive case management module supported by intuitive and user-friendly graphical insights and reports allowing the analysts to analyze fraud and take real-time actions.

By monitoring data that has been collected over time, Mobileum’s Subscription Fraud solution makes processes more efficient, effective, predictable, and profitable through the use of knowledge discovery, machine learning, and data mining techniques. Mobileum can provide accurate and practical evaluation methods and models for business decision-making, such as providing access to services or content. Thus, if applied to real data in an automated, low latency manner, the results can affect business activities even as they are happening, offering a real competitive advantage for CSPs.

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