A new stamp on cyberfraud prevention

A new stamp on cyberfraud prevention
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…

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.

Keep Reading

Most Popular

A fundamental flaw leaves LLMs strikingly vulnerable to attack

It makes it easy to trick them into doing things they shouldn’t, such as telling you how to sabotage an aircraft’s navigation system.

By

Anthropic found a hidden space where Claude puzzles over concepts

A new technique has let the company probe deeper than ever into the weird workings of an LLM.

By

Sperm donors need limits, says a European fertility group

Some donor-conceived people are finding hundreds of siblings. An international cap on donations could help prevent that.

By

AI is more likely than humans to form biases when hiring

AI doesn’t just learn stereotypes from its training. It can cook up new ones, too.

By

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.