Molecula Powers Dynamic Segmentation to Better Understand User Logins

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Q2, a secure, cloud-based digital banking solutions company needed to dynamically segment users at the time of login to identify and better understand anomalous attempts to access its banking platform so that it could better serve customers.

Q2’s digital banking solutions include handling deposits, moving money, lending, security, and fraud protection for financial institutions. The end goal is a better, safer financial experience for account holders. The Q2 websites have three types of visitors: consumers who are members of Q2’s client banks, data aggregators, and malicious attackers. Q2 sought to identify the aggregators and bad actors hitting the platform in real time in order to identify the unwanted traffic, create a better experience for end users and free up the necessary resources for customer transactions.

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