Recognizing suspicious activity throughout the casino is a top priority of compliance and casino executives, as an operator can receive significant fines and the potential loss of regulatory licenses for failing to implement and maintain vigilant efforts that prevent activities like money laundering, fraud and other financial crimes.
By constantly scanning all operations data collection points and analyzing them against a suspicious activity model, XUVI’s Immersive Data Analytics platform detects any potential suspect activities and transactions taking place and provides you with the tools and information you need to determine whether an activity is suspicious. Using this data, your compliance team evaluates the potential suspicious activities flagged to determine whether they meet the criteria for financial crime and require further action or reporting.
Transactions and activities that appear to have no legitimate purpose
Transactions and activities that are disproportionate to an individual’s capacity to spend
Transactions that are unusual for a specific customer or type of customers
Transactions that are repeatedly inconsistent with standard wagering and payout thresholds for a given game type
Play skill level and competence that are unfair to other customers and profitability
Play activities that indicate possible collusion with staff / employees
During the software onboarding process, XUVI’s installation team works with your compliance / fraud departments to incorporate the rules of what you consider suspicious activity into our platform. These rules can be specified by the specific transaction channel you want to focus on, allowing you to set different suspicious activity thresholds by channel (table games, slots, online, etc.).
Next, we import historical examples of each type of verified suspicious activity or financial crime to build the artificial intelligence models against which all future activities will be measured.
We then import your data into our Immersive Data Analytics platform and augment it with a wide range of additional information including income levels, age, discretionary spend, home value and postal code details
This data is processed through the established suspicious activity model for comparative purposes, assigning ANOMALY-SCORE values to each customer in your database based on how closely their activities mirror or differ from each suspect behavior.
Once the onboarding process is complete and our platform is in operation, it constantly compares all new activity and transactional data against the suspicious activity model, automatically flagging any activities that are suspect and adjusting each customer’s ANOMALY-SCORE accordingly.
As potential suspicious activities are detected, the data is shared with your designated representatives, who then individually assess the merits of each suspect activity to determine if further action or reporting is required.
If a suspicious activity is confirmed, the resulting human assessment is registered into the Immersive Data Analytics platform, updating the suspicious activity model with the specific details which simultaneously increases their ability to detect similar activities in the future.
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