Data security is one of the hardest problems in cybersecurity, and Stan had seen the pattern across his career. Most data security tools produce a flood of false positives that consume security team bandwidth. The quantity of data fintech companies handle, combined with the uneven quality of solutions on the market, makes it operationally difficult to keep up.
For EarnIn specifically, the requirement was efficiency at scale. The team needed low false positive rates, classification accurate enough to act on without manual review, and a platform that could scale alongside the business as customer volume grew.
"Data security is one of the hardest challenges in the cybersecurity industry, a lot of it because of the number of false positives and the amount of data that most companies have to manage through," Stan said. "In my career, we've worked with lots of different types of data security companies, and that is one of the hardest problems we have to solve for."