Traditional surveillance can’t keep up with industry growth. Operators prioritize monitoring high-value players, leaving the mass floor less protected. Yet, recent scams have mainly emerged on the mass floor…

Differential began as a tool to identify suspicious players and mitigate risk at scale. We use data to detect when a player behaves unusually or improbably, then link that behavior to a catalog of known scams. Social network analysis amplifies this process, uncovering syndicates behind many modern scams.

As an example, the chart on the right illustrates an online engagement where we helped safeguard against bot-based abuse online. After implementation, this operator’s win rate improved by 33%.