October 20, 2017
October 16, 2017
Online gaming companies use ThreatMetrix® to prevent collusive play and bonus abuse, promote responsible gaming and eliminate fraud while delivering a frictionless digital experience.
A game of skill, a promise of fair play and a great online experience attracts a loyal following. The experience suffers when organized rings use multiple accounts to control outcomes. Gaming sites suffer when credit and deposit fraud, professional money laundering and compulsive gamblers frequent their business.
ThreatMetrix ensures that anyone accessing these online games are who they claim to be without adding friction to the user experience.
Cybercriminals try to gain access to customer accounts, then drain them of funds or virtual currencies. They also try to exploit free bonuses offered when a new user opens an account. Problem gamblers and self-excluders who have been blocked can trick the system by using a stolen or spoofed identity.
ThreatMetrix can identify such behavior by making correlations between a user’s digital identity, looking at whether devices, locations and IP addresses, have been associated with bad play in the past.
Relying on static PII attributes alone would result in millions of losses. Static identity attributes are only useful when paired with dynamic user information so you can look for linkages and patterns. This makes the ThreatMetrix solution a significant component of our fraud model.
— , Head of Fraud, Online Lender
Collusive play offers fraudsters the opportunity to manipulate outcomes using a series of linked gaming accounts, for example, to control several hands at an online poker table. This can lead to huge fraud losses and frustration for trusted users who are trying to enjoy the game.
ThreatMetrix can detect multiple accounts originating from the same device or IP address, and flag these as high-risk indicators of fraudulent play.
Using ThreatMetrix, we can clearly see the spider web of linked, fraudulent accounts. We’ve almost got a 100-percent hit rate on known negative devices.
— Jim Winters, Director of Financial Crime, Fraud & Underwriting, TSB
The addictive and negative behavior of problem gambling can have a hugely detrimental effect on family life and the wider community. While some problem gamblers self-exclude, they can often relapse into problem behavior or persuade someone else to gamble on their behalf.
ThreatMetrix can help identify key links and associations to the restricted user’s devices or identities. High-risk activity can then be blocked in real time.
ThreatMetrix allowed us to have bespoke, risk-based authentication. We continue to improve the online experience for valued customers while removing unnecessary friction.
— Evgeny Vinogradov, Head of Data Warehousing & Analytics, Yandex.Money
Operators have legal responsibilities and business interests to keep online gaming and gambling crime-free. It’s simply good for business to spot suspicious activities related to money laundering or to identify funds belonging to or held by a designated person who is subject to financial sanctions.
The powerful smart analytics engine from ThreatMetrix is easily tuned and continually refined to the needs of your individual business.
ThreatMetrix has some of the biggest banks and payments providers in the world feeding into its Network, and we can leverage that. It makes us feel protected.
— Paul Abbey, CRO, MoneyPlace
Whether it is stolen credit cards, phishing emails sent to players or pharming operations (where players’ browser sessions are compromised), fraud can have a detrimental impact on operators. But placing disruptive authentication obstacles in the path of legitimate players can produce an alienating experience.
ThreatMetrix blocks high-risk players in real time and authenticates players transparently to not only protect revenue and reputation, but also deliver a frictionless digital experience to help grow lifetime value of trusted players.
ThreatMetrix was the partner we were looking for. Not only does it have robust fraud prevention capabilities but it delivered these to us in such a way that we were able to integrate data in our own risk engine and machine learning models.
— , WePay Online Payment Solutions