The team draws on a broad tech spectrum, including machine learning, classifiers, experimentation, automation, and AI-powered filters, partnering with product teams to shape the roadmap, build safety products, and measure impact on our community of users and developers. Past examples of work include work to model post-login suspicion, cryptographically bind user credentials to devices, malware detection, and work to detect and prevent asset laundering that typically is used to monetize ATOs.