Can a composite player trust score based on behavioral signals predict cheating with AUC above 0.88 while maintaining a false positive rate below 1%?
Develop a continuous player trust score that combines multiple behavioral signals to provide graduated anti-cheat enforcement rather than binary detection
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Can a composite player trust score based on behavioral signals predict cheating with AUC above 0.88 while maintaining a false positive rate below 1%?
Bruin connects to your Telemetry, Data Warehouse and runs the analysis automatically.
It tracks AUC-ROC, false positive rate, trust score distribution and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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