Atsuyoshi Shimazu, Founder & CEO
While advancements in technology continue to make human lives easier and more convenient, there is an increasing risk of every device connected to the internet being targeted and exploited by cybercriminals. Today, online transactions across fintech, e-commerce, air travel miles, and credit card industries, among others, face the risk of spoofing attacks. As a result, a significant percentage of businesses in Japan have been experiencing heavy unauthorized login damages. It is partly because Japan has historically escaped attacks from overseas hackers due to the language barrier, resulting in low awareness of cybersecurity among Japanese companies and immature domestic cybersecurity market. Whereas today, since all browsers have been equipped with translation functions, cyberattacks are rampant. In addition to monetary losses, unauthorized access poses a serious threat to an organization’s management, innovation initiatives, and brand reputation. Tokyo-based Caulis empowers corporations with a cloud-based unauthorized access detection solution that ensures robust protection spanning all customer contact points.
Caulis’ fraud detection offering “FraudAlert” delivers a unique decision logic based on “personality,” preventing unauthorized access by impersonating attackers. FraudAlert’s security relies on behavior pattern analysis, detecting and authenticating the risk of unauthorized access only when the user behavior is judged as dangerous or suspicious. “For instance, consider a person who usually logs in from Tokyo on a MacBook. What if one minute after logging in from the usual location, their account is also accessed from Singapore using the same ID and password? It is very likely to be a case of unauthorized access by impersonation. “FraudAlert detects such infiltrations by creating a database of ‘personalities’ and ‘behavior’,” explains Atsuyoshi Shimazu, founder and CEO of Caulis. “We even provide a detailed analysis informing our clients why a certain behavior is suspicious.”
Fraud detection through identity and behavior depends not only on user access location but also on keyboard typing patterns and the type of device used.
FraudAlert’s security relies on behavior pattern analysis, detecting and authenticating the risk of unauthorized access only when the user behavior is judged as dangerous or suspicious
In the case of smartphones, FraudAlert takes into account the body tilt depending on how the phone is held, the app icons on the screen, and so forth. FraudAlert determines the identity of a person from the combination of such information— based on 50 distinct parameters—and consolidates it into a database to detect impersonation. In addition, since FraudAlert is cloud-based, data concerning attackers and online criminals can be shared among all operators for improved security. Caulis’ cloud-based solution offers security as a service and hence, requires no initial installation cost.
Caulis also allows for seamless customization based on clients’ distinct requirements. May it be blacklisting/ whitelisting a certain device or IP address, highlighting a particular city or location as an organization’s official source, and so forth, the company does it all. “We now intend to reach beyond internet banking and provide security solutions for ATMs and other prominent traditional modes of banking. The connected car market is another target area for us,” says Shimazu. Furthermore, Caulis looks forward to leveraging artificial intelligence for predictive security along with expanding its business into Singapore, India, Indonesia, Thailand, Hong Kong, and the remaining APAC region.