Case Study: One of the Largest Social Networks stops account takeover and blocks 99% of spammers with DataVisor

DataVisor Empowers One of the Largest Social Networks to Stop ATO and Spam Before Damage Occurs

Largest Social Networks Company, a social platform with over 400 million monthly active users, faced large-scale account takeover (ATO) and spam campaigns that hijacked inactive accounts, seeded spammy shortened URLs, and used bots and VPNs to evade detection. Their existing tools missed coordinated attacks and delivered alerts weeks too late, so they engaged DataVisor to stop ATO and spam before damage occurred.

DataVisor deployed its fraud and risk management platform—using unsupervised machine learning (UML), dVector scoring, and a complete fraud prevention suite—to analyze user histories, behavioral changes, and correlated digital patterns in real time. DataVisor’s solution identified coordinated ATO clusters (even at sign-up), halted 80% of spammers at registration, captured 99% of spammers overall, increased detection rates 7x, and delivered an estimated $15M+ in annual savings while accelerating investigation efficiency.