12 years of experience in network security R&D, former chief security architect of Rakuten Japan, has led DDoS protection systems for tens of millions of concurrent users. Joined CDN07 brand company in 2023, led the team to develop an AI-driven "triple filtering protection engine", which controls the attack misjudgment rate to 0.008%, setting a new low in the industry.
Educational experience:

• Undergraduate degree in Information Security at the University of Tokyo (2009-2013), received a scholarship from the Ministry of Education, Culture, Sports, Science and Technology of Japan
• Master of Cybersecurity at Carnegie Mellon University (2013-2015), focusing on traffic anomaly detection algorithms
• PhD in Artificial Intelligence and Security at Stanford University (2018), thesis selected for the USENIX Security Annual Conference

Future message:

With the popularization of AI and blockchain technology, network threats will become more hidden and complex. Our R&D direction is to evolve the security system from "passive defense" to "active prediction", using machine learning to identify threat signals in advance.