The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security.
Our mission is to deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.
Our products combine breakthrough AI with seamless workflows to enable fraud and data science teams to proactively defeat emerging fraud with speed and agility.
Our approach draws on the power of proprietary unsupervised machine learning algorithms to detect known and unknown malicious behavior with pinpoint accuracy—all without the need for lengthy training times, large datasets, or frequent re-tuning.
Yinglian has over 10 years of experience in security, specializing in fighting large-scale attacks with AI and Big Data technologies. Previously, Yinglian worked at Microsoft protecting hundreds of millions of users across a wide range of Microsoft products.
Fang spent 8 years at Microsoft Research developing big-data algorithms and systems for identifying various malicious traffic such as worms, spam, bot queries, hijacked accounts, and fraudulent financial transactions across a wide range of Microsoft products.
Kevin has over 18 years of experience in fraud and financial crime risk mitigation, specializing in introducing advanced capabilities into traditional markets.
Over the past 20 years, Todd have been a practitioner, product manager, consultant, solution seller, and leader in the security and fraud field. During that time, Todd has worked with think tanks like Stanford Research Institute, startups like Shape Security as well as industry leaders like Akamai and IBM.
Caiwei Li has over ten years experience in fin-tech working for leading companies including Paypal and Visa. Before joining DataVisor, Caiwei was the Chief Software Architect in Risk at Ant Financial. He designed and developed a world-leading risk management platform to enable real-time fraud detection and risk control.
Hao has rich experience in solution engineering and customer success management. He led implementation projects of large-scale anti-fraud systems in global clients, and helped modernize their fraud management.
Eugene is an experienced finance leader who has helped several technology companies grow to $100m+ in revenue. He is particularly passionate about the cybersecurity space and likes DataVisor's mission to detect and prevent fraud and cyber-attacks.
Steve has over two decades of experience in Product Management and Trust & Safety business leadership and strategy. He previously held leadership roles at eBay, letgo and OfferUp helping to protect millions of users from fraud and other negative experiences.