Major mobile app store distributing over 3M apps.
Collaborative design platform used by 95% of the Fortune 500.
Major Indonesian payments platform serving 110M+ users.
Consumer neobank serving 10M+ customers.
Major mobile app store distributing over 3M applications globally. The platform sought to protect users from malicious apps impersonating trusted brands. This case study reflects detection and enforcement activity over a 12-month period.
Advanced visual analysis was required to detect adversarial impersonation at platform scale.
Indonesian payments platform serving 110M users. Indonesia has strict prohibitions on online gambling. The platform sought to identify payment accounts used to receive illegal gambling payments. Findings are based on detection data from a 4-month period.
Advanced web application execution capabilities required to confirm misuse through registration and login flows and extract payment identifiers from authenticated states.
Collaborative design platform used by 95% of the Fortune 500. The company sought to identify and takedown employee impersonation on LinkedIn. Findings are based on detection data from a 12-month period.
Multimodal profile analysis was required to identify fraudulent LinkedIn profiles.
Consumer neobank serving 10M+ customers, regulated by the Reserve Bank of India (RBI). The platform faced daily phishing, impersonation, and credential theft attacks. Findings are based on detection and enforcement data from a 12-month period.
Automated cross-channel detection was required to identify and drive takedown abuse targeting web, mobile, and social product surfaces.