Financial anti fraud system, how to define financial fraud?

Nowadays, with the rapid growth of the business scale of financial institutions and the increasing variety of business varieties, emerging businesses (such as Internet finance, P2P, electronic payment), etc., Internet finance is relatively hot, financial fraud has become very common, and financial anti-fraud has also come into being.

The financial anti-fraud solution is an intelligent big data anti-fraud product jointly created by the strategic cooperation between Dimon and Tencent. Relying on Tencent's unique big data risk control capabilities and Dimon Technology Group's strong experience in the development of Internet financial solutions, the system can accurately identify malicious users and malignant behaviors to help customers in the financial industry such as banks, insurance, and P2P. FYI!

Generally speaking, it is generally necessary to have its own set of risk control and risk control anti-fraud system, which can be built by yourself or by using a professional third-party supplier like Dimon Technology. From the current point of view, the domestic mainstream P2P platforms have chosen the combination of the two, giving full play to their respective advantages and minimizing the risk.

Dimon Financial Anti-Fraud Solution is an intelligent big data anti-fraud product jointly created by Dimon and Tencent. Relying on Tencent's unique big data risk control capabilities and Dimon Technology Group's strong experience in the development of Internet financial solutions, the system can accurately identify malicious users and malignant behaviors to help customers in the financial industry such as banking, insurance, and P2P.

Hello! An anti-fraud system is a system used to detect and prevent fraud. It uses advanced algorithms and technologies to analyze large amounts of old data, identify unusual patterns and unusual behaviors, and take timely action to prevent fraud from occurring.

The anti-fraud system has a wide range of applications in various fields, including finance, e-commerce, insurance, etc. In the financial sector, anti-fraud systems can help banks and payment institutions identify fraudulent behaviors such as credit card fraud and false transactions. In the field of e-commerce, the anti-fraud system can identify fraudulent behaviors such as false orders and theft by analyzing users' purchase behavior and historical data; In the field of insurance, the anti-fraud system can identify fraudulent insurance claims and fraudulent claims by analyzing the insured's information and claim records.

The core of the anti-fraud system is data analysis and modeling. By collecting and collating large amounts of data, the anti-fraud system can establish various models and rules that can be used to identify the characteristics and patterns of fraudulent behavior. At the same time, anti-fraud systems need to be constantly updated and optimized to cope with changing fraud methods and technologies.

Anyway, anti-fraud systems play an important role in protecting individuals and institutions from fraud. By using advanced technology and data analysis methods, the anti-fraud system can detect and prevent the occurrence of fraud in a timely manner, and maintain the safety and stability of society.

Contract fraud is the act of defrauding public or private property by means of concluding a contract and for the purpose of illegal possession, using fictitious facts or concealing the truth. Contract fraud is manifested in the act of one party deliberately fabricating false information, or distorting or covering up the true situation in order to obtain illegal benefits, so that the counterparty falls into a wrong understanding, and thus makes an insincere expression of intent to conclude and perform a contract. The judicial interpretation is that one party deliberately informs the other party of false information, or deliberately conceals the true situation to induce the other party to make a false expression of intent.

The parties deliberately fabricate false information, or distort or cover up the true situation, so that the expressor falls into a misunderstanding and thus makes an expression of intent that is not in line with the true intentions". The characteristics of fraud are:

The person committing the fraud is subjectively and intentionally;

The conduct of the person committing the fraud is "improper act", "wrongful act";

The purpose of the person committing fraud is to defraud money or to achieve a purpose that would not be possible without fraud. Contract fraud is the act of one of the parties to a contract deliberately fabricating false information, or distorting or covering up the true situation in order to obtain illegal benefits, so that the counterparty falls into a wrong understanding, and therefore makes an insincere expression of intent to conclude and perform a contract. The judicial interpretation is that one party deliberately informs the other party of false information, or deliberately conceals the true situation to induce the other party to make a false expression of intent.

Obviously, contract fraud has a dual nature: on the one hand, the actor's behavior is ostensibly legal, and the actor legitimizes his behavior by concluding, establishing, and performing the contract; On the other hand, the actor's conduct is inherently illegal, and the actor's conduct destroys the counterparty's expression of intent and causes the counterpart to make a false expression of intent. The duality of contract fraud makes the contract that is legally contradictory to the achievement of fraud, making it a typical illegal act of using a contract to engage in illegal activities.

Because of this, the regulation of contract fraud and the contract system are like twin sisters, which go hand in hand, develop and improve together. The regulation of contract fraud by law has its roots in the contractual system in order to maintain the security of transactions and the inviolability of private property. As early as the eighteenth century B.C., the commercial law of the ancient Babylonian kingdom imposed on merchants "the obligation to make and keep books of accounts and not to commit fraud"; In the Middle Ages, French canon law was based on moral considerations, fearing that the lack of a specific form of promise would make the parties fall prey to imprudent or fraudulent acts, and thus firmly adhered to the formalist tradition of requiring contracts to have a specific form of arbitrariness, and the urban law of Western Europe in the 10th and 15th centuries "strictly prohibited the fraudulent conduct of members in industrial and commercial activities".

With the highly developed market economy, in order to protect the freedom of contract, the law has become more and more strict in regulating contract fraud. In 1871, the German Code "provided detailed provisions for the crimes of fraud and breach of trust, forgery of documents, fraud and bankruptcy", and in 1908, Chapter 36 of the New Criminal Code of Japan incorporated fraud into the criminal law together with the crimes of trespass and intimidation.

Summary. Hello, the concealment of fraud crimes has increased the difficulty of fraud risk identification. There are studies that show that

There are currently three fraud hotspots in the financial services industry: money laundering, compliance, and internal financial fraud. Fraudsters have launched attacks on system vulnerabilities in financial service institutions, and many financial institutions have been quickly breached by fraudsters in the first few days of a new product's launch, resulting in huge financial losses for such businesses. "It can be seen that the use of technical means to fight fraud is particularly important.

How do we prevent fraud?

"Anti-fraud" is a technology to identify all kinds of fraud, and the common anti-fraud system mainly includes user behavior risk identification engine, credit information system, blacklist system, etc., mainly for enterprise-level applications, usually in the financial industry or the internal system of Internet companies.

The traditional anti-fraud process is mainly to detect anomalies through algorithms, take action when abnormalities are detected, block transactions, blacklist, etc., establish a blacklist library, solidify into rules, preset the system, and intervene next time you encounter such rules. That's how anti-fraud in banks works. However, with the passage of time, the blacklist will become invalid, the development of technology is also changing with each passing day, the means and technology of fraudsters are constantly iteratively updated, and it is difficult to fight fraud in Internet finance by using the expert rule system of traditional banks alone, and there needs to be an effective way to ** or prevent fraud that will occur next time.

What are the frauds encountered in the financial industry? How does big data fight fraud?

Hello, the concealment of fraud crimes has increased the difficulty of fraud risk identification. According to a study, "there are currently three fraud hotspots in the financial services industry, namely money laundering, compliance and internal financial fraud.

Fraudsters have launched attacks on system vulnerabilities in financial service institutions, and many financial institutions have been quickly breached by fraudsters in the first few days of a new product's launch, resulting in huge financial losses for such businesses. "It can be seen that the use of technical means to fight fraud is particularly important. How do we prevent fraud?

Common anti-fraud systems mainly include user behavior risk identification engine, credit system, blacklist system, etc., mainly for enterprise-level applications, usually in the financial industry or the internal system of Internet companies. The traditional anti-fraud process is mainly to detect anomalies through algorithms, take action when abnormalities are detected, block transactions, blacklist, etc., establish a blacklist library, solidify into rules, preset the system, and intervene next time you encounter such rules. That's how anti-fraud in banks works.

However, with the passage of time, the blacklist will become invalid, the development of technology is also changing with each passing day, the means and technology of fraudsters are constantly iteratively updated, and it is difficult to fight fraud in Internet finance by using the expert rule system of traditional banks alone, and there needs to be an effective way to ** or prevent fraud that will occur next time.

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In the view of Top Elephant Technology: the business of Internet finance mainly involves two aspects of deposit and loan, so anti-fraud mainly focuses on these two aspects. In these two businesses, there are two main risks involved:

One is fraud risk, and the other is credit risk. Dingxiang Technology provides two sets of solutions for financial institutions, the first financial credit risk control solution; Real-time anti-fraud solutions for finance.

The online use of retail credit products has become one of the trends in the development of the financial industry. In the credit business, it will face various fraud risks such as loan fraud by black and gray industry gangs, intermediary packaging, customer forgery, loan theft and fraud, channel collusion and other fraud risks for a long time, and there are also problems in the credit risk level that borrowers cannot be effectively assessed due to insufficient data in the credit reporting system and credit white households.

How to control credit risk losses, reduce risk control operating costs, and quickly support new business expansion and upgrading have become key challenges faced by the credit business.

Top Elephant Technology provides financial credit risk control solutions for financial institutions:

Dingxiang's one-stop intelligent credit risk control platform covers the whole process management of credit risk control (pre-loan, loan, post-loan), multi-party data docking, risk control and quota decision-making, anti-fraud strategy, post-loan visual monitoring and other functions, improving the bank's online credit real-time risk control decision-making capabilities, automatic approval capabilities, credit review process management capabilities and credit data management capabilities, realizing complex processing and precipitation of real-time data, forming a closed business loop, and providing a strong guarantee for the healthy and sustainable development of online credit business.

At the same time, Dingxiang's financial credit risk control solution has three major advantages. It can realize mature cold-start solutions for anti-fraud and risk control, rapid customized risk control modeling for new businesses and new course groups, and automatic development of AI integrated risk control, fully meeting the needs of credit business and improving customer experience.

The financial real-time anti-fraud solution provided by Dingxiang Technology for financial institutions:

With the Internetization of financial institutions and the rapid development of new finance, online credit, transaction payment, marketing operations and other scenarios are becoming more and more abundant.

Fraudulent methods such as identity fraud, malicious loan fraud, and wool harvesting emerge in an endless stream, bringing many risks to financial institutions, such as funds.

Dingxiang's financial real-time anti-fraud solution has three major advantages. It can realize real-time detection of full-link flow computing, rapid implementation of scenario customization, and autonomous anti-fraud upgrade of machine learning, fully meeting the needs of new financial services and improving customer experience.

For different business scenarios, Dingxiang provides financial enterprises with an integrated in-depth risk control system, and customizes personalized strategies according to different scenarios and different business characteristics to achieve different risk control effects.

At the same time, it can be well integrated with the original risk control system to ensure the safe operation of various businesses and meet various compliance requirements.

Nowadays, the financial raid on the Internet is relatively hot, financial fraud has become very common, and financial anti-fraud has also come into being.

Bear. Four major product functions of financial anti-fraud solutions.

1. Pre-loan testing.

Accurately identify Internet financial risks such as false information applications, fraudulent identity applications, high-risk user applications, agency applications, long loans, and group fraudulent loans.

2. Post-loan monitoring.

Update the fraud information database in real time, regularly detect existing users, and timely discover risks such as cross-platform overdue, long lending, and user changes.

3. Black industry intelligence.

The black market intelligence radar system comprehensively grasps the behavioral characteristics of the Internet financial black market, automatically learns and makes decisions, and makes targeted attack strategies.

4. Risk analysis.

Collect network-wide risk data and provide a full range of penetration testing and security assessment services for the platform.