Abstract: Systems and techniques are provided for the mining signals from developer clusters in an application ecosystem and the creation of rules to proactively ban applications when they are submitted to the application ecosystem. Applications may be received. Each application may be associated with a developer account that submitted the application to an application ecosystem. Signals may be extracted for one of the applications from one of the applications and the developer accounts. A banned prevalence percentage may be determined for the signal. A signal rule may be generated from the signal based on the banned prevalence percentage for the signal. The signal rule may be stored.

Abstract: Systems and techniques are provided for the classification of risks associated with developers in an application ecosystem. Signals associated with a developer account for an application ecosystem may be received. Each of the signals may include one of an account signal, an application signal, and a financial signal, and each of the signals may be associated with a weight and a score. The signals may be combined using the weights and the scores associated with the signals to obtain a risk probability for the developer account. The risk probability may be scored.

Abstract: Systems and techniques are provided for the mining signals from developer clusters in an application ecosystem and the creation of rules to proactively ban applications when they are submitted to the application ecosystem. Applications may be received. Each application may be associated with a developer account that submitted the application to an application ecosystem. Signals may be extracted for one of the applications from one of the applications and the developer accounts. A banned prevalence percentage may be determined for the signal. A signal rule may be generated from the signal based on the banned prevalence percentage for the signal. The signal rule may be stored.