5 types of e-commerce fraud that artificial intelligence can detect
Posted: Sun Jan 26, 2025 8:30 am
The last two years have seen a spectacular increase in online shopping. The arrival of the pandemic has accelerated a trend that already involved millions of consumers in our country and was experiencing growth of 23% annually even before the health crisis, which shows that e-commerce is one of the most important sales channels in the market.
Hence the importance of understanding how we can defend our business against any fraud or cyber attack that seeks to steal customers' personal data, or that intends to sabotage the computer system on which all e-commerce is based .
In this article we will talk about five frauds that can be detected with a new technology that has proven its effectiveness beyond a doubt: artificial intelligence . Phishing , pharming and their derivatives will no longer be a problem if you decide to make the necessary investment in automated processes that will help you feel protected in your company.
Frauds you can avoid with artificial intelligence
Shapelets, a Spanish platform for time series data analysis in the linkedin data field of Big Data, has been responsible for collecting five frauds that we can avoid if we take sufficient precautions. This will help us to have a good brand image in front of customers, facilitating the purchase and sale processes so that they enjoy paying for their products.
Common frauds.
The transactions that users carry out on our website help artificial intelligence to draw up a profile of those that had problems of any kind, or those that were carried out fraudulently. This allows the creation of a system that identifies any type of cybercrime, according to predetermined patterns that can combat and anticipate them.
New frauds.
The work of artificial intelligence , in cases where it is not aware of fraud, focuses on finding anomalies in its behavior. For example, it is responsible for identifying unusual transactions in real time, which will allow alerting of suspicious activities in future occasions. AI considers that these operations will have to be validated by a human operator or directly blocked , depending on the degree of confidence that the algorithms have and the amount of each transaction. In this way, it seeks to offer greater security by minimizing the blocking of legitimate operations.
Combination of common and new frauds.
In these cases, this type of technology is responsible for reviewing the historical fraud database to combine it with the new alterations that are detected. In this way, AI will learn from new behaviour patterns, improving the detection of possible fraud and incorporating new models to alert company managers that an attack is taking place on the security of consumers and the company itself.
Hence the importance of understanding how we can defend our business against any fraud or cyber attack that seeks to steal customers' personal data, or that intends to sabotage the computer system on which all e-commerce is based .
In this article we will talk about five frauds that can be detected with a new technology that has proven its effectiveness beyond a doubt: artificial intelligence . Phishing , pharming and their derivatives will no longer be a problem if you decide to make the necessary investment in automated processes that will help you feel protected in your company.
Frauds you can avoid with artificial intelligence
Shapelets, a Spanish platform for time series data analysis in the linkedin data field of Big Data, has been responsible for collecting five frauds that we can avoid if we take sufficient precautions. This will help us to have a good brand image in front of customers, facilitating the purchase and sale processes so that they enjoy paying for their products.
Common frauds.
The transactions that users carry out on our website help artificial intelligence to draw up a profile of those that had problems of any kind, or those that were carried out fraudulently. This allows the creation of a system that identifies any type of cybercrime, according to predetermined patterns that can combat and anticipate them.
New frauds.
The work of artificial intelligence , in cases where it is not aware of fraud, focuses on finding anomalies in its behavior. For example, it is responsible for identifying unusual transactions in real time, which will allow alerting of suspicious activities in future occasions. AI considers that these operations will have to be validated by a human operator or directly blocked , depending on the degree of confidence that the algorithms have and the amount of each transaction. In this way, it seeks to offer greater security by minimizing the blocking of legitimate operations.
Combination of common and new frauds.
In these cases, this type of technology is responsible for reviewing the historical fraud database to combine it with the new alterations that are detected. In this way, AI will learn from new behaviour patterns, improving the detection of possible fraud and incorporating new models to alert company managers that an attack is taking place on the security of consumers and the company itself.