Opaque account: what is it and how to detect it using data?
Posted: Sun Dec 22, 2024 4:33 am
Scams carried out through shell accounts are a growing concern in the financial market. These accounts, used as intermediaries in fraudulent transactions to hide the identity of criminals, result in losses that can reach R$2.5 billion, according to market estimates . Detecting and preventing this type of fraud is essential to protect the financial integrity of institutions.
Identifying and combating the use of this type of account is important to protect the financial integrity of institutions and avoid major losses. But how can companies effectively detect these fraudulent behaviors?
In this article, we’ll explore the concept of shell accounts , how they work, and most importantly, how data can be a powerful tool for detecting and preventing these scams. Read on to learn how data analytics can help your business protect itself against fraud and ensure safer, more transparent operations.
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What is a shell account?
A shell account is a bank account opened and operated in the name of a person who is often unaware that it is being used for illicit activities. These types of accounts are used by criminals to hide their identities and move funds covertly. The term “shell” refers to the person whose name and details are used, often without their consent or knowledge, to create and operate the account.
Criminals often obtain personal information from russia phone number individuals through tactics such as phishing , identity theft, or even coercion. With this information, they open bank accounts in the name of these individuals. They then use these accounts to:
Money laundering : moving illicit money through multiple transactions to disguise its origin.
Avoid detection : Staying anonymous and preventing your own accounts from being tracked by authorities.
Financial fraud : carrying out fraudulent transactions, including transferring large sums of money without raising immediate suspicion.
These accounts are characterized by a high volume of transactions in a short period, especially international transfers, frequent deposits and withdrawals that do not correspond to the holder's financial profile, in addition to being recently opened accounts that begin to move large amounts of money quickly.
What are the risks generated by shell accounts?
Opaque accounts pose several significant risks to financial institutions, companies and society in general. These risks can impact the financial integrity of operations, the reputation of institutions and the security of the financial system as a whole. Below, we highlight the main risks associated with an opaque account:
Financial losses : These accounts are often used to launder money and commit financial fraud. Financial institutions can suffer losses due to fraudulent activities such as unauthorized transactions and transfers of large sums of money.
Legal and regulatory penalties : Financial institutions that fail to implement adequate controls to detect and prevent shell accounts can face severe penalties. Financial regulations require institutions to adopt rigorous compliance and know-your-customer (KYC) measures.
Money laundering and terrorist financing : Shell accounts are a common means of money laundering, where illicit funds are moved to disguise their origin. Additionally, these accounts can be used to finance terrorist activities, creating significant risks to national and international security. Financial institutions have a responsibility to detect and prevent such activities to maintain the security of the global financial system.
It is also worth noting that the use of shell accounts can mask conflicts of interest and unethical practices within an organization. These accounts allow individuals or entities to conduct transactions in a covert manner, hiding their true intentions and activities. This can lead to compromised business decisions and negatively impact business integrity.
How to detect a shell account using data
Opaque accounts are often identified by displaying a high volume of transactions in a short period of time, especially international wire transfers. Frequent deposits and withdrawals that do not match the holder's usual financial profile are also red flags . But this is not the only way to identify this type of fraud. Check out below how you can strengthen your strategy to prevent opaque accounts:
Identity verification and background check
Conducting thorough identity and background checks is crucial. Analyzing the origin of data can help detect whether personal information was obtained fraudulently and whether the data provided matches official and historical records.
Machine learning and predictive analytics
Use machine learning algorithms to detect anomalies and complex patterns that humans may not easily identify. Predictive models trained on historical data can predict the likelihood of an account being used for illicit activities.
Integration of external data sources
Consolidate data from multiple sources for a complete and accurate view. Consult lists of individuals and entities involved in illicit activities and use data from public sources to detect suspicious transactions and relationships.
Implementing these strategies is essential to identify these accounts and mitigate the risks associated with financial fraud. However, the effectiveness of these measures can be significantly increased by using specialized anti-fraud solutions that integrate up-to-date public data and advanced technologies, enhancing your defenses against fraudulent activity more effectively and efficiently.
Want to know how? Then check out what BigDataCorp can do for your business.
Count on BDC's anti-fraud solutions
BigDataCorp offers the most complete and reliable anti-fraud on the market, allowing your company to validate the identity of any person or company quickly and without the need for manual analysis.
Configure over 100 system features to tailor the process to your needs. Validate identities in seconds, achieving fast turnaround and high conversion rates. Plus, use different validation mechanisms to maximize your protection, performing 100% automatic analysis and minimizing customer friction, including:
Personalized questionnaire;
Documentscopy;
Biometrics; and
Background check.
These features allow total control of the process, adapting the system to any risk situation, validating information from documents sent by customers and automatically verifying people or companies.
Want to make your analytics safer and simpler with BigDataCorp’s data intelligence? Try it now and see how our solutions can transform your operations.
Identifying and combating the use of this type of account is important to protect the financial integrity of institutions and avoid major losses. But how can companies effectively detect these fraudulent behaviors?
In this article, we’ll explore the concept of shell accounts , how they work, and most importantly, how data can be a powerful tool for detecting and preventing these scams. Read on to learn how data analytics can help your business protect itself against fraud and ensure safer, more transparent operations.
Follow!
What is a shell account?
A shell account is a bank account opened and operated in the name of a person who is often unaware that it is being used for illicit activities. These types of accounts are used by criminals to hide their identities and move funds covertly. The term “shell” refers to the person whose name and details are used, often without their consent or knowledge, to create and operate the account.
Criminals often obtain personal information from russia phone number individuals through tactics such as phishing , identity theft, or even coercion. With this information, they open bank accounts in the name of these individuals. They then use these accounts to:
Money laundering : moving illicit money through multiple transactions to disguise its origin.
Avoid detection : Staying anonymous and preventing your own accounts from being tracked by authorities.
Financial fraud : carrying out fraudulent transactions, including transferring large sums of money without raising immediate suspicion.
These accounts are characterized by a high volume of transactions in a short period, especially international transfers, frequent deposits and withdrawals that do not correspond to the holder's financial profile, in addition to being recently opened accounts that begin to move large amounts of money quickly.
What are the risks generated by shell accounts?
Opaque accounts pose several significant risks to financial institutions, companies and society in general. These risks can impact the financial integrity of operations, the reputation of institutions and the security of the financial system as a whole. Below, we highlight the main risks associated with an opaque account:
Financial losses : These accounts are often used to launder money and commit financial fraud. Financial institutions can suffer losses due to fraudulent activities such as unauthorized transactions and transfers of large sums of money.
Legal and regulatory penalties : Financial institutions that fail to implement adequate controls to detect and prevent shell accounts can face severe penalties. Financial regulations require institutions to adopt rigorous compliance and know-your-customer (KYC) measures.
Money laundering and terrorist financing : Shell accounts are a common means of money laundering, where illicit funds are moved to disguise their origin. Additionally, these accounts can be used to finance terrorist activities, creating significant risks to national and international security. Financial institutions have a responsibility to detect and prevent such activities to maintain the security of the global financial system.
It is also worth noting that the use of shell accounts can mask conflicts of interest and unethical practices within an organization. These accounts allow individuals or entities to conduct transactions in a covert manner, hiding their true intentions and activities. This can lead to compromised business decisions and negatively impact business integrity.
How to detect a shell account using data
Opaque accounts are often identified by displaying a high volume of transactions in a short period of time, especially international wire transfers. Frequent deposits and withdrawals that do not match the holder's usual financial profile are also red flags . But this is not the only way to identify this type of fraud. Check out below how you can strengthen your strategy to prevent opaque accounts:
Identity verification and background check
Conducting thorough identity and background checks is crucial. Analyzing the origin of data can help detect whether personal information was obtained fraudulently and whether the data provided matches official and historical records.
Machine learning and predictive analytics
Use machine learning algorithms to detect anomalies and complex patterns that humans may not easily identify. Predictive models trained on historical data can predict the likelihood of an account being used for illicit activities.
Integration of external data sources
Consolidate data from multiple sources for a complete and accurate view. Consult lists of individuals and entities involved in illicit activities and use data from public sources to detect suspicious transactions and relationships.
Implementing these strategies is essential to identify these accounts and mitigate the risks associated with financial fraud. However, the effectiveness of these measures can be significantly increased by using specialized anti-fraud solutions that integrate up-to-date public data and advanced technologies, enhancing your defenses against fraudulent activity more effectively and efficiently.
Want to know how? Then check out what BigDataCorp can do for your business.
Count on BDC's anti-fraud solutions
BigDataCorp offers the most complete and reliable anti-fraud on the market, allowing your company to validate the identity of any person or company quickly and without the need for manual analysis.
Configure over 100 system features to tailor the process to your needs. Validate identities in seconds, achieving fast turnaround and high conversion rates. Plus, use different validation mechanisms to maximize your protection, performing 100% automatic analysis and minimizing customer friction, including:
Personalized questionnaire;
Documentscopy;
Biometrics; and
Background check.
These features allow total control of the process, adapting the system to any risk situation, validating information from documents sent by customers and automatically verifying people or companies.
Want to make your analytics safer and simpler with BigDataCorp’s data intelligence? Try it now and see how our solutions can transform your operations.