MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--DataVisor, the leading fraud management company powered by transformational AI technology, announced today that AirAsia, the multi-national airline group headquartered in Malaysia, has successfully implemented DataVisor’s comprehensive fraud management solution for ticketing fraud and promotion abuse, to capture unknown and ever-evolving fraud attacks in real time. Thanks to the power of DataVisor’s machine learning algorithms, device intelligence that delivers extensive digital fingerprints of users accessing the AirAsia’s platform via mobile devices, domain expertise and vast global intelligence network, AirAsia’s fraud teams are now blocking a much greater percentage of fake holds, opening up inventory for legitimate customers.
“We are excited to be partnering with AirAsia to help them address digital risk in real-time,” said DataVisor CEO and Co-Founder Yinglian Xie. “AirAsia’s dedication to delivering exceptional customer experiences aligns perfectly with our commitment to protect good customers and reduce friction while stopping fraud at the gate. DataVisor’s advanced, AI-powered fraud and risk solutions provide continuous customer lifecycle protection, so AirAsia can improve user experiences and reduce loss by identifying fraud and bot-scripted attacks early and with high accuracy.”
DataVisor Reduces Held Seats, Chargebacks and Account Takeovers
AirAsia was looking for a comprehensive fraud and risk solution that would help them combat bot-scripted ticketing fraud, in which fraudsters use scripted bots to purchase tickets in bulk and later resell or cancel the tickets. By fraudulently claiming seats and manipulating ticket prices, they cause substantial revenue loss and prevent good customers from booking travel. Fraudsters may also use sophisticated techniques to compromise good users’ accounts and redeem loyalty points, save used credits or execute fraudulent transactions. Legacy fraud solutions often result in too many false positives, introducing friction to the customer experience (CX).
With its ability to detect and reveal hidden connections across millions of accounts, DataVisor has empowered AirAsia’s teams to get ahead of fraud by exposing previously undetected fraud patterns on day one, without any impact to CX. Since implementation, AirAsia has detected 54% more fraud with 99% accuracy, stopping fraudsters at the point of entry while reducing false positives to improve the ticketing experience for good customers.
DataVisor’s comprehensive suite of solutions combines the power of AI and adaptive machine learning with unrivaled domain expertise and data analysis and data analysis and investigation tools to deliver complete protection for clients from known and unknown attacks. Proprietary Unsupervised Machine Learning capabilities boost detection accuracy without the need for historical data and lengthy training periods and without impacting good users. This ensures consistent and continuous protection in a high-QPS environment. DataVisor protects more than 4.2 billion accounts worldwide for many of the largest and most successful global enterprises. Learn more about DataVisor and explore additional client success stories.
About AirAsia
AirAsia Berhad is a Malaysian airline headquartered near Kuala Lumpur, Malaysia. It is the largest airline in Malaysia by fleet size and destinations. AirAsia Group operates scheduled domestic and international flights to more than 165 destinations spanning 25 countries.
About DataVisor
DataVisor is the leading fraud detection company powered by transformational AI technology. Using proprietary unsupervised machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4.2B global user accounts, DataVisor protects against financial and reputational damage across a variety of industries, including financial services, marketplaces, e-commerce, and social platforms.