StackUp employs various advanced detection software, as well as AI and machine learning models, to identify suspicious user behaviour, submissions, and other activities on our platform. These automated systems alert us to certain high-risk signals and indicators for investigation, which are then complemented by human interventions for a thorough review to ensure that our checks are comprehensive and multi-layered.
Below briefly outlines the steps that we use to detect on cheating users and submission, which includes but not limited to:
- Identification of highly suspicious activity (submissions and user behaviours) through system detection against various resources, users' platform behaviour, and account history.
- Multiple manual human interventions for further investigation and review of flagged users and/or activity before concluding that suspicious activity has taken place.