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A representative manufacturer in China's online anti-fraud market, Ruishu Information has been recognized by IDC again

author:Drive China

With the continuous advancement of digital transformation, enterprises and individuals are facing an increasingly severe threat of cyber fraud while enjoying the convenience and efficiency brought by digital business systems. Phishing, malware, ransomware, and other fraud methods are emerging, and with the misuse of artificial intelligence technology, fraud is becoming increasingly difficult to identify and prevent.

Recently, IDC released the report "AI-Powered China's Online Anti-Fraud Market Insights (2024)", which provides an in-depth analysis of the current situation and future development trend of China's online anti-fraud market, with a special focus on the application of artificial intelligence technology in the field of anti-fraud. With its all-round anti-fraud capabilities and means based on dynamic security + AI artificial intelligence, Ruishu Information has been listed as a representative manufacturer in China's online anti-fraud market by IDC. This is the reaffirmation of Ruishu Information after being selected into "IDC Innovators: Anti-Fraud in China Business Security, 2019" and "IDC Perspective: Anti-Fraud Market Research in China's Financial Industry".

A representative manufacturer in China's online anti-fraud market, Ruishu Information has been recognized by IDC again

IDC's AI-Powered China Online Anti-Fraud Market Insights (2024)

According to the IDC report, China's online anti-fraud market is currently ushering in important development opportunities, but it is also facing some problems and challenges that need to be solved:

· Driven by multiple factors such as the continuous evolution of online anti-fraud application scenarios, the sharp increase in the amount of online transaction data, and the gradual intelligence of fraud gangs, as well as the continuous improvement of policies and regulations, the demand for anti-fraud technology by end users is becoming more and more urgent.

· At this stage, the application of AI security model has brought new value to online anti-fraud technology to a certain extent, and AI technology has injected new vitality into the field of anti-fraud by improving multi-dimensional data analysis capabilities, threat identification accuracy, and effective response to attack escalation.

· Challenges such as the timeliness of anti-fraud technology upgrades, data privacy and security, the accuracy of algorithms and models for fraud identification, cross-platform technology integration, and globalization and cross-border fraud cannot be ignored.

Driven by user demand and technological development, China's online anti-fraud market will show the following trends in the future:

· The demand for online anti-fraud continues to grow:

With the popularization of the Internet and the rapid development of e-commerce and online finance, the demand for China's online anti-fraud market has shown a continuous growth trend, and it is expected that the scale of the online anti-fraud market will further expand in the next few years.

· Technology Providers Lead the Fraud Era:

In the future, many online anti-fraud technology providers will emerge in the Chinese market, providing enterprises with comprehensive anti-fraud solutions with advanced technology and rich practical experience.

· Industry Joins Forces to Share Data to Prevent Fraud:

In order to achieve more effective anti-fraud, various industries have begun to try to establish an anti-fraud data sharing mechanism, through the sharing of blacklists, risk information, transaction data, etc., enterprises in different industries can jointly deal with cross-industry fraud risks.

· AI-powered, smarter anti-fraud:

The application of artificial intelligence technology in the field of online anti-fraud is becoming more and more widespread. With the help of AI technology, anti-fraud systems can achieve automated learning, self-optimization, and intelligent decision-making.

· Professional team, new anti-fraud needs:

With the rapid development of the online anti-fraud market and the continuous upgrading of technology, the demand for professional anti-fraud operation teams is also increasing. It is expected that in the next few years, a professional anti-fraud operations team will become a hot demand in the field of cybersecurity.

Ruishu Information: China's online anti-fraud representative manufacturer

As one of the representative manufacturers in the field of online anti-fraud, Ruishu Information provides enterprises with comprehensive anti-fraud products and services by establishing a full range of anti-fraud capabilities and means, and stifles the risk of fraud in the "steel line of defense". The dynamic security technology of Ruishu Information has completely changed the passive defense technology of traditional security based on attack characteristics and behavior rules, and the scope of protection not only increases the unpredictability of the target system and confuses the attack, but also dynamically perceives, analyzes and predicts the whole process of various website applications and business transactions according to the threat situation from a functional perspective, so as to trace and block the source of malicious attacks in real time, and combat business cheating disguised as normal transactions. All kinds of online frauds and attacks that use legitimate accounts to steal sensitive data and fake legitimate terminal applications effectively protect the security of online transactions and corporate websites.

Traditional anti-fraud systems focus more on customer accounts, fraudulent transaction information, and business logic anomalies, while today's online fraud uses real identities and information to achieve batch business operations through automated tools. Therefore, the traditional risk control perspective shows that the highly anthropomorphic operation of this automated method requires a lot of data analysis in the background, and the identification is relatively lagging behind, and an important demand for the forward-looking risk control system is the need to realize the pre-risk control and accurate collection, and immediately identify whether it is a tool or the operation behavior of real people.

"Risk control front" is one of the ideas that Ruishu Information has been constantly emphasizing in the field of business anti-fraud. In the face of the security status quo of the mixture of business and network threats, and the overlapping of application protection and business anti-fraud, the dynamic security technology provided by Ruishu Information can realize the pre-identification and threat perception of malicious tool behaviors before the traditional server-side risk control response, so as to maximize the active perspective of risks and realize business risk protection more efficiently and accurately.

By putting risk control in the front, enterprises will not rely on the real-time human-machine identification and interception of traditional risk control rules, the identification of customized business logic fraud, and the real-time identification and blocking of faulty and non-vulnerable business anomalies. Enterprises will be more flexible in terms of business protection, not sticking to fixed rules to face more and more diverse attacks, and protect themselves with richer business logic.

Through the effective collection of data, enterprises can rely on JS's strong anti-stress capability to ensure data collection, provide important supplements to security threat data and human-machine identification data, and provide the best decision-making judgment. Effectively collecting critical data from massive amounts of data can help organizations respond to incoming attacks in a timely manner.

In the environment where fraud attacks are becoming more and more serious, the dynamic security solution is to achieve rapid detection, response and blocking before fraud attacks have a negative impact on enterprises, and fully protect the security of enterprise networks, businesses, applications and data.

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