modl:assure
Machine learning tools make up a decisive factor of meeting the adversarial challenge of new bots, hacks, and cheat tools.
ML-Driven Cheat Detection
Online games have long been a target for cheaters who armed with bots and cheating software go after your game and wreck user experience and retention. With a simple Google search, you can easily buy advanced bots or cheating software, that have become so good at concealing their presence, that they get around existing detection methods. Cheaters are not welcome and machine learning tools make up a decisive factor of meeting the adversarial challenge of new bots, hacks, and cheat tools.
Defeating Bots with Machine Learning
By modeling human behavior and computing the difference of new observations to human reference models, this method is able to flag not only known, but also new unseen bots and cheats, without prior observations.
Real-time Visibility and Tracking
Our dashboard provides continuous visibility into the make-up of your player base and flags if a user is a bot or human.
Ongoing Learning from Player Data
modl:assure enables ongoing improvement by retraining models with production data as more data becomes available; learning as your player base changes.
