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Caulis: Cloud-Based Unauthorized Access Detection

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Atsuyoshi Shimazu, Founder & CEO, CaulisAtsuyoshi 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.

Notably, Caulis has addressed a key pain point in fraud prevention—high-level security often results in poor UX, requiring users to navigate a variety of questions and other hurdles to verify their identity. FraudAlert makes life easy for organizations by featuring a simple JavaScript application programming interface (API) that can activate security measures for a website or app. Its seamless user experience, speedy implementation, reliable performance, low cost, and effective logic have together been attracting an increasing number of users. With FraudAlert, a second-tier bank in Japan has managed to reduce illegal money transfer incidents by 90 percent, while another bank succeeded in identifying 200 money laundering accounts within a month. Further validating FraudAlert’s effectiveness is how the cloud-based solution enabled a Japanese telecom company to cut down on 97.8 percent of SMS used for two-factor authentication (2FA), thus delivering a seamless user experience (UX).

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.
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Caulis

Company
Caulis

Headquarters
Tokyo, Japan and caulis.jp

Management
Atsuyoshi Shimazu, Founder & CEO and Yasutaka Hori, COO, Shih-Wen Su, CTO and Yoshikata Uehara, CFO

Description
Caulis, a Tokyo-based enterprise security startup, empowers corporations with a cloud-based unauthorized access detection solution that guarantees 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. Since FraudAlert is cloud-based, it requires no initial installation cost while data concerning attackers and online criminals can be shared among all operators for improved security