February 22, 2019
February 20, 2019
This telco is a leading player in the European market. The company embarked on extending its portfolio of services to consumers and businesses, launching a new mobile phone service offering handsets on contract and SIM-only deals, via both telesales and online.
As consumers continue to demand immediate communication and connectivity, adopting a mobile-first outlook, telecommunication providers are becoming increasingly burdened by fraudsters looking to capitalize on the increased distribution of mobile phones.
In launching the new mobile service, the telco recognized that it was susceptible to fraudsters looking to make money from premium handsets or defaulting on large phone bills. The company needed a solution that could accurately distinguish between legitimate and fraudulent customers in real time, while also promoting a frictionless experience for good, returning customers.
The telco needed to be able to detect and block fraudsters signing up for new accounts using stolen identities, as well as block cybercriminals trying to take over good user accounts to order new handsets or SIMs. The company also needed a solution which would help detect fraudulent payments and identify fraudsters attempting to monetize stolen credit card credentials. As consumer behavior becomes more complex, with fraudsters becoming increasingly adept at mirroring that behavior, it was vital for the company to genuinely understand the digital identity of its connecting users and distinguish the good from the bad.
Digital Identity Intelligence from ThreatMetrix enabled the operator to more accurately detect and block fraudulent applications for new mobile phones. ThreatMetrix is integrated at key points in the application process, from when the customer first connects, to the credit agreement and payment of the mobile phone and/or contract.
ThreatMetrix gives us the ability to paint an accurate picture of every user, capturing the unique attributes of how someone transacts online. This intelligence enabled us to significantly reduce fraud and achieve ROI within three months.
Leveraging Digital Identity Intelligence, the telco was able to accurately identify high-risk and unusual behavior at new account registration. Using dynamic, behavioral history from the Digital Identity Network, the telco company was able to understand the trustworthiness of connecting users by analyzing such attributes as location, device and behavior anomalies. The telco also deployed Digital Identity Intelligence in the second stage of the application process, using risk-based scoring to supplement additional credit verification checks. The holistic approach
to detecting potentially fraudulent behavior at both new account registration and at the credit agreement, enables the telco company to detect and block potentially fraudulent behavior before a new contract is issued.
The telco further leveraged ThreatMetrix to pinpoint fraudsters using stolen credit credentials and block fraudulent payments. Once again tapping into crowdsourced intelligence from the Network, the telco company was able to identify and block payment methods associated with prior fraudulent activity, in one instance blocking a potential fraudster using multiple credit card credentials from one device.
In addition, ThreatMetrix was also integrated into the login page for user accounts across the telecommunication company. Good users could therefore be rated as trusted; not only does this reduce friction during the login process and protect against account takeover attacks, it also has the potential to streamline the application process for any future mobile phone contracts.
The operator benefitted from working collaboratively with ThreatMetrix, feeding back fraud data which was then immediately used to improve scores and risk assessment of transactions. By working together, fraud rejection rates were improved significantly, with referrals and false positives also reduced. In addition, the telco company was able to leverage historic data collected from transactions to see trends; new account IDs older than 60+ days from creation were found to have a low fraud rate, while pre-paid cards making initial payments were found to have a high fraud rate. These trends were used for rules optimization, further enhancing the scoring and assessment of transactions.
With ThreatMetrix, we can leverage historic data and use our own fraud data to immediately optimize and enhance our scoring. This means that our ability to identify and detect fraud only gets stronger and stronger with each transaction.