A new stamp on cyberfraud prevention

AI导读

For Rupert Young ’95, SM ’95, his career in data science and cybersecurity began when his grandfather gifted him thousands of stamps: He built intricate databases to catalogue them, displaying the “precise eye” for detail and nuance that his MIT application essay said would make him a good engineer....

AI Prism 智棱 - AI应用 分类封面图
For Rupert Young ’95, SM ’95, his career in data science and cybersecurity began when his grandfather gifted him thousands of stamps: He built intricate databases to catalogue them, displaying the “precise eye” for detail and nuance that his MIT application essay said would make him a good engineer. Young is now chief product officer of ­MaxMind, whose work with IP-address location data and fraud prevention has made it a go-to resource. Streaming companies, security vendors, merchants, and ad-network providers use its signature tool, GeoIP, to determine how and where users are accessing services. This information makes it possible to ensure retail sites are using the correct currency, flag suspicious bank logins, and more. Young’s passion for engineering was shaped by internships, and he has paid it forward by volunteering at his children’s California high school and trying to keep up with what “the next generation of engineers are tinkering with.” The next generation of product innovation at MaxMind excites him too. “Working with my team to try to find patterns in data and solve challenging problems—to me, there’s no greater joy,” he says. Read more at www.technologyreview.com/alumni-profiles.

内容声明

本文内容基于公开市场信息与媒体报道进行整理,部分观点来自社区讨论。如涉及事实性问题,欢迎通过 xurj005@163.com 与我们指正,我们将及时核实并更新。