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RU

EN

STOP FRAUD

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

Fraud prevention

Incident investigation

Indemnification

Preventing recurrence of fraud

FEATURES

EVENTS ARCHIVE

Large impersonal archive of events

SEARCH AND COMPARE

Convenient event search and filtering

MATCH DETECTION

Quick search for similar faces according to the current database

DIFFICULT CASES

Face and text recognition even on low-quality images

UPDATE

Real-time information update

INCIDENT MODEL

Identifying of connection between persons in one incident

AREA OF USE

01

FINANCIAL AND CREDIT

02

LOGISTICS

03

INDUSTRY

HOW IT WORKS?

IDENTITY CHECK STEPS

The solution provides exceptional accuracy and reliability through 3-step identity verification

1

DATA ENTRY

2

IMAGE COMPARISON

3

SEARCH BY SOURCE

Results

PROCESS AUTOMATION AND TRANSPARENCY

REDUCING LOSSES FROM UNFRIENDLY PRACTICES

PREDICTED EFFECT

SECURITY

Stop-Fraud
The "Stop-Fraud" information and analytical system is a tool designed to reduce risks associated with interacting with unreliable counterparties by comparing their data against an accumulated database of fraudsters and related incidents. This solution optimizes tasks for vetting job candidates and screening clients before providing services, thanks to its high data processing speed.
Technologies and Algorithms
The IAS operates based on a combination of the following methods:
The system consolidates all instances of fraudulent activities related to a specific individual into a single profile. This allows for a complete picture of threats to be seen, rather than disjointed facts.
The IAS establishes connections between individuals and incidents. This enables the identification of not just individual offenders, but entire networks (organized criminal groups), which is critical for combating systemic fraud.
The system allows for cross-comparison of multiple photographs, even when image quality varies.
• Information search based on both profile data (full name, passport, phone number) and photographs. The system cross-references information from all available sources to achieve an accurate result.
Verification of document photographs for signs of manipulation, erasure, or image substitution, preventing fraud involving counterfeit IDs.
Real-time analysis of photos and videos to recognize a live person and distinguish them from a mask, photograph, or video recording. It also estimates approximate age, serving as an additional verification factor.
The capability for prompt interaction between system users to enable rapid response to new incidents.
Application Scope of the "Stop-Fraud" IAS

The system is in high demand in the finance, logistics, and other business sectors where companies are keen on ensuring security when hiring honest employees and working with reliable clients and contractors.

The "Stop-Fraud" IAS easily integrates with any IT systems and information databases, allowing for exhaustive automated cross-checks to be conducted in a short timeframe. The solution features an advanced API, enabling integration with any corporate systems and services to automate the processing of incoming applications. Its distributed architecture ensures operation under high load with a large volume of requests. The extensive use of neural networks for both processing text queries and analyzing images elevates request processing, text recognition, and document examination for signs of graphic manipulation to a new level.

It is important to note that the system fully complies with the legislation of the Russian Federation in the field of information security.

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Финансово-кредитная
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Логистика
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Промышленность

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