Stop Fraud

STOP FRAUD

Fraud prevention in the credit and financial sector, insurance and logistics based on a face recognition system

from 145 000 ₽

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Fraud prevention

Incident investigation

Indemnification

Preventing recurrence of fraud

Capabilities

EVENTS ARCHIVE

Large anonymized event archive

SEARCH AND COMPARISON

Convenient search and event filtering

MATCH IDENTIFICATION

Quick search for similar faces in the current database

BEST TECHNOLOGIES

Ability to recognize faces and text even on low-quality photos

UPDATING

Real-time information updates

INCIDENT MODEL

Information on accomplices based on identified incidents

Applications

FINANCIAL AND CREDIT

LOGISTICS

INDUSTRY

How does it work?

Stages of identity verification

The solution ensures exceptional accuracy and reliability through 3 stages of identity verification:

DATA ENTRY

IMAGE COMPARISON

SOURCE SEARCH

Results

AUTOMATION AND TRANSPARENCY OF PROCESSES

REDUCTION OF LOSSES FROM UNFRIENDLY PRACTICES

PREDICTABLE EFFECT

SECURITY

Stop-Fraud

The Information and Analytical System "Stop-Frod" is a tool that reduces the risks of interacting with unreliable counterparties by comparing their data with an accumulated database of fraudsters and related incidents. This solution optimizes the tasks of screening job candidates and customers before providing services due to its high data processing speed.

Technologies

The IAS operates based on a combination of the following methods:

Search for information using both application data (full name, passport, phone) and photographs. The system cross-references information from all available sources to obtain accurate results.

The system consolidates all instances of fraudulent activity associated with a specific person into a single profile. This allows you to see the complete threat picture, rather than isolated facts.

Verification of document photos for signs of tampering, erasures, or image replacement, preventing fraud with fake IDs.

The system allows cross-comparison of multiple photographs even when image quality varies.

Real-time photo and video analysis to recognize a live person and distinguish them from a mask, photograph, or video. Approximate age is also estimated, serving as an additional verification factor.

Ability for operational interaction between system users for rapid response to a new incident.

Application area of IAS "Stop-Frod"

Stop-Fraud is an information and analytical system designed to prevent fraud, identify potential risks, and enhance the security of business processes. The solution combines tools for data analysis, document processing, and working with accumulated information, helping organizations make more informed decisions and respond promptly to unusual situations.

The system is suitable for industries where the high cost of errors, large volumes of data, and a significant number of participants require automated control.

Financial Sector

Logistics and Transportation

Insurance

Financial Transaction Monitoring and Risk Reduction

In banks, microfinance institutions, insurance companies, and other financial organizations, Stop-Fraud can be used as an additional risk management tool. The system helps analyze information at different stages of customer interaction — from submitting an application to completing a financial transaction.

Working with large volumes of data is particularly important. The system can cross-reference information, identify discrepancies in documents, and take previously accumulated data into account during subsequent analysis.

Stop-Fraud can be used for:

monitoring the processing of financial applications;
analyzing documents and identifying signs of inconsistencies;
automating data entry and processing using AI;
generating additional alerts for security and risk management teams;
integrating with corporate information systems.

This approach helps reduce the volume of manual operations and provides an additional layer of control when working with financial products.

Cargo Protection and Supply Chain Monitoring

For transportation and logistics companies, key priorities include cargo security, reliable transportation processes, and monitoring a large number of participants. Stop-Fraud enables organizations to create an additional information-based security layer around logistics operations.

The system can be used to manage transportation processes, work with transport contractors, and analyze events related to cargo movement. Information from different sources is consolidated to provide a comprehensive view and identify potentially risky relationships and patterns.

Key use cases include:

monitoring information related to transportation operations;
analyzing documents used in logistics processes;
identifying inconsistencies in accompanying information;
analyzing incident histories and related events;
automating selected transportation security procedures.

Using Stop-Fraud helps improve the transparency of transportation processes and draw timely attention to situations that may result in financial losses or supply disruptions.

Risk Identification in Insurance Claims Processing

In the insurance industry, Stop-Fraud helps automate information analysis at different stages of working with insurance products — from policy issuance and claim review to the settlement of insurance claims.

The system enables organizations to cross-reference data from different sources, analyze documents and claim histories, and identify recurring patterns and inconsistencies that may require additional attention from specialists.

Stop-Fraud can be used for:

analyzing insurance claims and benefit applications;
processing and cross-referencing insurance claim data;
analyzing documents submitted during the claims settlement process;
identifying recurring claims and related events;
automating information processing using AI;
integrating with the insurer's information systems.

The system helps insurers reduce the amount of manual information processing, improve the efficiency of claims settlement, and reduce the risk of unjustified payouts.

Stop-Fraud for Business

The use cases of the system are not limited to a single industry. Stop-Fraud can be adapted to an organization's specific requirements, internal processes, and existing IT infrastructure.

The solution brings together data, document, and event history analysis within a single system and can be integrated with corporate information resources via API.

This enables Stop-Fraud to be used either as a standalone tool or as an additional security layer within an organization's existing infrastructure — for fraud prevention, operational risk management, and greater transparency of business processes.

Popular questions

The "Stop-Frod" system uses multi-factor analysis to prevent fraud:

Search and verification against application data.
Use of advanced algorithms for image similarity assessment (face matching).
Liveness check (confirming that a live person is in front of the camera, not a photo or mask) in real time.
Cross-referencing against internal and shared incident databases to identify matches with known fraudsters.
Automatic monitoring that notifies when new negative events related to the verification subject appear.

Yes, the system is equipped with an AI-based document recognition module. When a photo or scan of a document is uploaded, the AI conducts an in-depth analysis: checks the integrity of security elements, identifies signs of retouching, photo replacement, or font inconsistencies, and then outputs the percentage probability of document authenticity.

Yes. Due to the high level of neural network training on specific datasets, the "Stop-Frod" system demonstrates high recognition accuracy even when working with low-resolution images, poor lighting, or digital noise.

Financial sector: Banks, MFOs (microfinance organizations) and MCCs (microcredit companies) – preventing credit fraud.
Logistics and transport: screening drivers and forwarders to prevent cargo theft.
HR security: in-depth screening of candidates for critically important positions regarding possible involvement in fraudulent schemes in the past.

Currently, the information perimeter of the "Stop-Frod" system includes several tens of millions of records, ensuring high representativeness when searching for connections and identifying patterns of fraudulent behavior.

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