Tips What is Anti-Fraud:Tasks and Methods

[Serafim]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication

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What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

 

[amanraj1998]

good

 

[Chubb_baybee]

thanks bro

 

[vendettanz]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

 

[sxggrphh]

thanks

 

[Satan]

let see

 

[Imjay2x]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

Yo

 

[Jakker]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

w

 

[khoa123]

thanks

 

[xanix]

1

 

[wildwest33]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

thank you for the info

 

[blueyedbandit]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

Ok. lets have it

 

[yamleg]

lets see

 

[ttooabc]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

Hi

 

[bloodjuixe]

Good info.tnx

 

[bloodjuixe]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

Awesome

 

[smartking]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

Yh

 

[lucifer619]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

ty

 

[quincy29]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

1

 

[Trustee]

What is antifraud: tasks and methods​

To combat fraud and theft of confidential information, banking systems use antifraud. These systems are aimed at detecting and preventing fraudulent attacks, and this is implemented by dozens of different methods.
Let's talk about the goals and methods of antifraud that are relevant at the moment.

Let's understand the terminology
Antifraud system is a set of measures that allow you to evaluate banking or Internet transactions for the degree of the likelihood of fraud. To do this, the system tries on certain criteria for each operation - and if it does not correspond to them, then it checks it more thoroughly and signals it.
Built-in filters help to recognize unusual behavior and assess the risks of the operation, and then apply measures to allow or deny it. In disputable situations, the final solution to the issue is passed on to the bank's employees, who are called fraud analysts (fraud is fraud in order to take possession of other people's funds or property by fraud).
Banks and regulators have been actively cooperating with each other in recent years, creating new recommendations for identifying fraudulent schemes. Financial organizations exchange information with each other, and self-learning anti-fraud systems analyze Big Data and learn to make decisions based on this analysis. According to a study by the National Bureau of Credit Histories, already in 2017, shortly after the massive introduction of anti-fraud systems in banks, the number of loans with suspicious signs decreased by 15%. Similar solutions are increasingly being implemented by representatives of small and medium-sized businesses, especially due to the availability of low-cost cloud solutions on the market.

How the anti-fraud process works
Each transaction first goes through the first "line of defense": it is checked for compliance with the established restrictions, such as the limit on the volume of purchases on the card, the maximum one-time purchase amount, the number of users of one card, the number of cards for one client, etc. If all these checks have passed successfully, then the next, more serious ones come into play.

Based on their results, the antifraud assigns one of the conditional "labels" to the operation:

• Red. Danger of fraud, cardholder authentication is required. Such a label is automatically assigned to translations with non-standard characteristics - for example, a user from France pays for a purchase in a Russian online store with a card issued in the UK.
• Yellow. For example, if the amount of payment is significantly higher than the average for a particular store. There is a possibility of fraud, additional verification is required.
• Green. Payment is carried out within one country, the payment amount is average. Minimal chance of fraud.

For all checks, the user must be recognized according to one or another algorithm. The standard protection settings are also taken into account - protection from the selection of confidential data and payment information. The map is analyzed by country of issue, geography of use, owner. The history of previous payments is being studied.

Relationship between antifraud and user authentication * Hidden text: cannot be quoted. *
* Hidden text: cannot be quoted. *

What antifraud tasks does the product solve?
ANTIFRAUD allows you to control internal and external fraudulent schemes and process each loan application within 40 seconds. Main functions:

• Checking information about the applicant against blacklists.
• Identifying data inconsistencies in loan applications by cross-checking and comparing with other applications.
• Supplementing the client's personal data with information from external sources.
• Fuzzy data comparison algorithms.

When a rule is triggered, the entire database is analyzed. Alarms are clearly visualized, the system instantly adapts to changes in conditions. With the help of control of internal and external schemes, the likelihood of obtaining loans for fake details, for invalid documents or for goods for the purpose of cashing is reduced to zero. In addition, applications with photocopies of documents or made in collusion / under pressure are rejected. Confirmed fraud profiles are added to the blacklist, after which the updated data is transmitted to the automated banking system.
Living in the age of information technology, we are constantly faced with fraudulent schemes of one kind or another - as soon as one attacker manages to deceive the system, he spreads a loophole among the rest. Fortunately, modern security services can learn and are becoming more productive every day. We offer to order a presentation and see for yourself how the anti-fraud works effectively.

tnx, so much