In times of constant transformation, a requirement to process ever growing amounts of data and increasing customer expectations, it is very important for telecoms to be flexible and adapt quickly to the ever-changing environment. And, while CSPs do already adjust their services, products and even employees to the changes, they often forget about one, crucial part – security.

The threat of fraud in modern digitally transformed telecoms

Customers are not the only “threat” to CSPs. Affiliates might pose risks too. As telecoms offer more and more products in cooperation with various partners, it is important to note that this risk may also arise from that direction. The more dependencies a telecom has, the more difficult it is for traditional anti-fraud systems to react quickly enough to changes in those dependencies, in the ecosystem, and in new business cases.

That is why operators should look for other, up to date ways to protect their company operations and services from modern threats.

Traditional rule-based telecom fraud prevention systems are not enough

Different types of fraud and threats in telecoms mean that there is an urgent need to adjust fraud management systems to counteract them all, preferably in real time. As deploying new services and products to the market always involves a fraud risk, preventive action should be taken in advance, in order to identify potential abuses on time.

The solution is to implement an intelligent embedded fraud management system. How does it work?

Embedded fraud management in telecoms

Built-in fraud management can provide a CSP with a real market advantage. It works inside the organization and can perform real-time actions such as processing data, detecting potential or actual fraud, and providing 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 the potential damage is.

The other benefit of an embedded fraud management system is that it can save telecoms money that would otherwise need to be spent externally on the implementation and maintenance of a separate system.

AI/ML in fraud management

As AI/ML-driven technologies take over the industry, they can also be applied in modern fraud management systems. One of the most effective solutions that are used by telcos involves machine learning classifiers.

“ML classifiers are able to account for complex relationships between many attributes, which is difficult for rule-based systems. Periodic training of classifiers allows them to take into account changes in fraudster behavior. Utilizing machine learning means there is no need for the manual creation of very complicated rules, because the classifiers are learned on the basis of known examples.”

If you’d like to learn more about the role of AI/ML technologies in modern fraud management, and the benefits of embedded fraud management, we encourage you to download our free white paper, in which we cover such topics as:

  • The place of fraud management in the digital telco world
  • The risks and fraud dangers that await CSPs
  • Why an embedded fraud management system is better than a traditional rule-based one
  • The role of AI/ML in fraud management systems
Embedded Fraud Management: A New Way of Dealing with Business Assurance in a Dynamically Changing CSP Ecosystem – DOWNLOAD NOW
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Author

Dominik Pacewicz

Chief Product Manager BSS

Being customer-focused, he builds the vision behind the whole Comarch BSS stack and supervises its realization. As an experienced architect, he’s also actively supporting the most complex transformation projects for some of Comarch’s key BSS customers.

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