Hassan Chafi started working at Oracle labs as an intern during his PhD program at Stanford. Thanks to the resources he had access to at Oracle, he was able to develop his thesis on graph analytics—a project that would go on to fundamentally alter the international cybersecurity landscape.
During a series of internal Oracle events, Hassan crossed paths with a member of the Financial Services Global Business Unit, Sunil Mathew. The pair immediately saw the groundbreaking potential of what Hassan’s theory could achieve in the detection of cybercrime.
Within a year, Hassan’s big idea had become a viable product. Now Oracle is using graph analytics to detect a host of financial crimes that are indicators of much larger criminal activities. Specifically, Oracle is making a huge dent in detecting money laundering activity which enables crimes like human tracking, illegal drug cartels, terrorism and fraud.
We caught up with the innovative duo to get their take on the immense impact of their collaboration. Hear the fascinating tale of how two Oracle employees masterminded a solution that changed the world.
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