Fraud monitoring
Fraud monitoring is a set of systems and technologies that analyze transactions, user actions and traffic in real time to detect and prevent fraudulent operations.
Contents
- What is fraud monitoring
- How fraud monitoring works
- Stage 1. Data collection
- Stage 2. Analysis and profiling
- Stage 3. Risk assessment
- Stage 4. Response
- Where fraud monitoring is applied
- 1. Banks and payment systems
- 2. E-commerce
- 3. Digital advertising and marketing
- 4. Telecommunications
- 5. Cryptocurrency exchanges
- Advantages of fraud monitoring for business
- How to choose a fraud monitoring system
What is fraud monitoring
Fraud monitoring (from the English fraud — deception and monitoring — observation) is the process of continuous control, detection and prevention of fraudulent operations in digital systems. It protects business and clients from financial losses and also helps to comply with the requirements of regulators, including 152-FZ.
According to the Central Bank, in 2025 Russian banks prevented fraudulent operations worth more than 3 trillion rubles thanks to fraud monitoring systems. At the same time, the number of attacks on individuals increased by 25% compared with the previous year, which makes protection critically important.
Fraud monitoring works like a "smart filter" that analyzes hundreds of parameters: geolocation, the device, transaction history, typing speed, operation time. If the system notices deviations from the usual behavior, the operation is blocked or sent for additional verification.
The Fintech company offers comprehensive solutions for protection against fraud, including SINTeZ-M for secure document workflow and integration with SIEM systems for centralized management of security events.
How fraud monitoring works
The fraud monitoring system works in four stages: data collection, analysis, risk assessment and response.
Stage 1. Data collection
The system records all the user's actions: the device (model, IP address, browser), geolocation, operation time, history of previous transactions, typing speed and even the tilt angle of the smartphone. The more data, the more accurately the system determines who is performing the operation — a real user or an attacker.
Stage 2. Analysis and profiling
The system creates a "digital profile" of each user. It includes familiar login locations, typical transfer amounts, frequency of operations, and devices used. Any deviation from this profile arouses suspicion.
Stage 3. Risk assessment
Each operation is assigned a risk score. If the indicator exceeds the established threshold, the transaction is blocked or sent for confirmation (for example, a request for an SMS code). Modern systems use machine learning to constantly update risk models.
Stage 4. Response
Depending on the level of risk, the system can:
- Block the operation completely.
- Request additional confirmation (SMS code, biometrics).
- Send a notification to the security service.
- Temporarily block the card or account.
Read more about the operating principles of anti-fraud systems in the article Fraud.
Where fraud monitoring is applied
1. Banks and payment systems
This is the main field of application. The systems analyze every transaction: online payments, transfers, cash withdrawals. If a client from Moscow pays for a purchase in a store and 10 minutes later an attempt is made to use his card in another country — the operation is blocked. Banks are obliged to implement fraud monitoring to comply with the requirements of 152-FZ and to protect client funds.
2. E-commerce
Online stores use fraud monitoring to protect against:
- Purchases with stolen cards.
- Multi-accounting (creating many fake profiles).
- Abuse of bonuses and promo codes.
- Chargeback fraud (disputing payments after receiving the goods).
Anti-fraud systems check each order: they analyze the delivery address, email, phone number and purchase history. If an order looks suspicious, it is sent for manual verification.
3. Digital advertising and marketing
Ad fraud (click inflation by bots) costs business billions of rubles annually. Fraud monitoring in advertising filters invalid traffic, screening out bots and click farms. This allows advertisers to pay only for real users.
About how to protect advertising budgets, read the article Information security.
4. Telecommunications
Telecom operators use fraud monitoring to combat SIM farming (illegal use of other people's numbers), fraudulent calls and traffic inflation. The systems analyze call patterns and block suspicious activity.
5. Cryptocurrency exchanges
With the growing popularity of cryptocurrencies, new risks have appeared: wallet hacking, phishing attacks, scam projects. Fraud monitoring on exchanges analyzes transactions, detects suspicious transfers and blocks the accounts of attackers. Read more about protecting crypto assets in the article Cryptocurrency.
Advantages of fraud monitoring for business
- Reduction of financial losses: automatic blocking of fraudulent operations prevents direct losses.
- Increasing client trust: protection of data and funds strengthens the company's reputation.
- Compliance with regulatory requirements: the systems help comply with the requirements of 152-FZ and international standards.
- Automation of routine tasks: fraud monitoring reduces the load on the security service, allowing it to focus on complex incidents.
- Minimizing false positives: modern systems based on machine learning accurately distinguish real users from attackers.
For comprehensive business protection, we recommend implementing fraud monitoring together with SIEM systems and regular information security audit.
How to choose a fraud monitoring system
When choosing a solution, pay attention to the following criteria:
- Scalability: the system should cope with a growing volume of transactions.
- Analysis speed: the solution should work in real time, without delays.
- Use of AI and ML: modern systems based on machine learning are significantly more accurate than traditional rules.
- Integration: the system should easily integrate with the existing infrastructure (CRM, payment gateways, SIEM).
- Reporting: the availability of detailed reports for regulators and internal audit.
The Fintech company helps businesses select and implement optimal fraud monitoring solutions taking into account industry specifics.
Frequently asked questions
What is fraud monitoring in simple words?
Fraud monitoring is a system that monitors your financial operations and blocks suspicious transactions. For example, if you usually buy groceries in a supermarket, and the system sees an attempt to withdraw a large amount in another country — the operation is blocked. This protects your money from fraudsters. Read more about types of fraud in the article Fraud.
How does fraud monitoring work?
The system analyzes hundreds of parameters: geolocation, device, operation time, transaction history. First it creates a digital profile of your usual behavior. If something unusual happens — for example, a login from a new device at night — the operation is blocked or sent for confirmation. About how systems use machine learning, read the article Machine learning.
Why does business need fraud monitoring?
Fraud monitoring protects business from financial losses, increases client trust and helps comply with the requirements of regulators, including 152-FZ. The system automatically blocks fraudulent operations, reducing the load on the security service and minimizing losses.
What does a fraud monitoring specialist do?
A fraud monitoring specialist analyzes suspicious operations, configures system rules, develops risk models and investigates incidents. He works with big data, uses machine learning and interacts with other departments — the security service, the legal department and IT. About the profession of a security specialist, read the article SOC.
How is fraud monitoring different from an antivirus?
An antivirus protects your device from malicious programs, while fraud monitoring protects your financial operations from fraudsters. The antivirus works on the local device, fraud monitoring — on the servers of the bank or payment system. Together they provide comprehensive protection: the antivirus from viruses, fraud monitoring from financial losses.
How to choose a fraud monitoring system for a business?
When choosing a system, pay attention to scalability, analysis speed, the use of AI and ML, the possibility of integration with the existing infrastructure and the availability of detailed reporting. The optimal solution depends on the volume of transactions and the specifics of your business. To select a solution, contact experts — for example, conduct an information security audit.
What will happen if fraud monitoring blocks my operation by mistake?
Such cases are rare but possible. If an operation is blocked, you will receive a notification. You can confirm the operation by responding to the SMS or a call from the bank, or contact the support service. Modern systems based on machine learning constantly reduce the number of false positives. About how such systems work, read the article Artificial intelligence.
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Fraud monitoring
Fraud monitoring is a set of systems and technologies that analyze transactions, user actions and traffic in real time to detect and prevent fraudulent operations.
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