The Gaming industry has always been ahead of the curve in embracing machine learning to tackle fraud.
In the dynamic environment of gaming – both online and in-store – fraudsters are constantly evolving their attack methods on players’ accounts. Gaming organisations need the latest technology to keep up, without solely relying on re-writing business rules.
Understand each individual player to cut fraud losses
Spot anomalous behaviour as it happens to detect and block both new and unknown types of fraud.
Minimise manual investigation – improve operational efficiency
Automatically scale fraud models to self-learn as fraud attacks and gameplay expertise evolves.
Improve customer experience and increase revenue
Make real-time, automated fraud decisions to minimise customer friction and reduce the costs associated with chargebacks and incorrectly declined transactions.
Real-time gameplay analysis
Understand player transactional activities as well as gameplay behaviour, once they have funded their account.
Informed business decision making
Make quick, accurate decisions about player activity during dynamic gaming.
Flexibility to adjust thresholds
Accurately anticipate changes in risk appetite, for example around major sporting events such as The Grand National.