Credit Card Fraud: AI Technology and Prevention Methods

Unauthorized credit card charges are on the rise, emphasizing the need for vigilant usage and regular monitoring to prevent fraud.

### AI Technology Advancement and Credit Card Fraud: The Growing Threat and Defense Mechanisms
* 🔓 Unauthorized withdrawals from credit cards are becoming more prevalent due to the rapid advancement of AI technology for credit card fraud, with the total amount involved in fraudulent use of credit cards in Japan reaching **5.4 billion yen**, the **highest since 1997**.
* 💳 The use of bots to mechanically try all combinations of credit card numbers, expiration dates, and security codes poses a **significant threat**, as they can eventually find a **usable credit card number** for malicious purposes.
* 🛡 To prevent actual shopping using stolen card information, there are systems like the one created by Mr. Nakajou's company that detect fraud from a database of **200 checkpoints**, preventing **68 billion fraudulent uses in the past year**.
* 🔍 Common indicators of potential fraudulent orders include the input of **disposable email addresses** or discrepancies in the buyer's information, such as when the **first name does not match** the expected pattern based on the surname.
* 💳 In this era, it is challenging to **completely secure credit card information**, as cases of fraud can occur even before the card arrives.
* 🛡 Effective defense mechanisms against credit card fraud include not keeping unused credit cards, using credit cards wisely, and regularly checking the transaction history to **detect any unauthorized use**.
* 🔒 "No matter how advanced AI becomes, **human verification is still necessary**."
* 📺 If there are any unauthorized charges on your statement, it is recommended to **watch the Kansai TV News YouTube channel for updates and information**.

I'm puzzled because I don't remember this claim. There was an unauthorized withdrawal on my credit card statement, and the card was delivered to my home, still in the envelope where I kept it. It's scary how things turned out this way. With the advancement of AI technology for credit card fraud, which continues to set new records, the damage is rapidly increasing. The surprising methods used in Japan exceed 300 million cards in total, with each adult having an average of three cards. Credit cards are convenient but can also be risky. I don't recall being involved in this at all and suddenly, over a few months, a significant amount of money was deducted, like around 300,000 yen, for in-game purchases without my knowledge. The credit card company called me, saying it's strange because I usually don't use that much. So, I said I'll stop it, and they did. They are investigating this month's transactions, but they found that about two transactions were made from overseas last year. The fraudulent use of credit cards amounted to approximately [Continued in the next segment...]

The statistics show that the amount involved is 5.4 billion yen, the worst since 1997. Some people have been shocked to find out that even cards stored at home have been fraudulently used. When looking at the details of the card, I always check the amount of the mobile phone bill, but when I saw a charge of 850 yen at a Microsoft Store in Nara Prefecture by a woman in her 50s, I noticed something strange. Then, there was another charge at the same Microsoft Store for 31,800 yen. I wondered what was going on, as the card used for these transactions had been delivered to the home as it was, and when I checked the past statements, a total of 460,000 yen had been deducted over 7 months. Neither the family nor I remember inputting the card number online. The credit card company said they received a bill from Microsoft, so I called Microsoft to confirm, and they denied any such transactions.

I also called the credit card company and asked why there was a charge that I didn't remember. They said that according to the in-car regulations, they would refund the last three months. I don't know what happened or who did what, it's kind of scary. There are similar cases on social media where there are several posts about damages. In a place where it was written as Microsoft in Katakana, it says that 41,000 yen was paid in 6 or 7 installments. Even though I tried to inquire if Microsoft is aware of this, they have not disclosed it from a security perspective. It's strange that even though it's under the person's name, they claimed to be Microsoft for the withdrawal. It's scary, isn't it? I wonder how they found out this number. So, the biggest question is why the card information leaked. According to Mr. Nakamasa, who is knowledgeable about credit card security, whether it's in a task or a file, as long as the credit card number exists, there is a possibility that it could be exposed.

There is a method called credit master, and on some sites, you can use a combination of three sets of card number, expiration date, and security code. Since these are just strings of numbers, if you try all combinations, you will eventually hit it. Bots mechanically and tirelessly try all combinations of credit card numbers, expiration dates, and security codes. If a usable credit card number is found, it can be used for malicious purposes. There are tools that automatically input numbers called bots, which can be used for attacks. Furthermore, with the rapid advancement of AI technology in recent years, bots can be easily created, increasing the threat. Moreover, there are tricks to avoid being detected during attacks, making it troublesome. There are methods that are becoming more widespread, where they try out combinations of credit card numbers a few tens of times a day to avoid detection. This situation makes it difficult to notice the theft of card information. There are also technologies to prevent actual shopping using stolen card information.

In the system created by Mr. Nakajou's company, they detect fraud from a database or 200 checkpoints, preventing 68 billion fraudulent uses in the past year. An alert like fraudulent activity detected pops up. In about 10 minutes, maybe around 30 cases appear. The system identifies fraud when disposable email addresses are inputted or when there is a discrepancy in the buyer's information. For example, if the surname is Nakayama, but the first name inputted is not matching the expected pattern. This indicates potential fraudulent orders, often coming from overseas users engaging in fraudulent activities. Since it's hard to verify identities, cases of users providing fake information are quite common. Nowadays, one cannot be completely at ease using credit cards; by the time the card arrives, the information may already be compromised. Are there any effective defense mechanisms in this era? First, it is recommended not to have unused credit cards, and for those who have credit cards, use them wisely.

Please make sure to check your history each time to avoid any unauthorized use, even if it's a small amount or from when you were in elementary school. If there is any unfamiliar usage, please contact the credit card company for confirmation. No matter how advanced AI becomes, human verification is still necessary. If there are any unauthorized charges on your statement, please watch Kansai TV News YouTube channel. Thank you for watching, and don't forget to subscribe to the channel.

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口 「身に覚えがない請求」一体なぜ？　過去最悪の『カードの不正利用』　2023年の被害額は約540億円〈カンテレNEWS〉

KTV NEWS

AI technology is advancing and setting new records for credit card fraud, with Japan alone exceeding 300 million cards.

A victim experienced unauthorized transactions on a card that had never been used online, leading to a significant amount of money being deducted.

The total amount involved in fraudulent use of credit cards has reached 5.

4 billion yen, the worst record since 1997.

Unauthorized Credit Card Charges and Security Risks

Credit card company offers refund for unauthorized charges according to regulations, sparking fear and confusion.

The use of bots to generate and test credit card information, combined with AI technology, is making it easier for malicious actors to carry out attacks.

The use of tactics to avoid detection and prevent unauthorized card usage is making it increasingly difficult to detect and prevent credit card information theft.

Nakajou's Company's Fraud Detection System

Nakajou's company's fraud detection system has prevented 68 billion fraudulent uses in the past year from 200 checkpoints.

The system identifies fraud through disposable email addresses, buyer information discrepancies, and unusual user patterns, often from overseas.

In today's environment, where credit card information can be compromised, it is recommended to minimize unused credit cards and use them judiciously.

Importance of Verifying Credit Card Charges

Regularly check your credit card history to prevent unauthorized use, even for small amounts or from a long time ago.

It's important to contact the credit card company if you notice any unfamiliar activity, as human verification is still crucial despite advances in AI.

Stay updated on potential unauthorized charges by watching the Kansai TV News YouTube channel for the latest information.

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口「身に覚えがない請求」一体なぜ？　過去最悪の『カードの不正利用』　2023年の被害額は約540億円〈カンテレNEWS〉

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口「身に覚えがない請求」一体なぜ？　過去最悪の『カードの不正利用』　2023年の被害額は約540億円〈カンテレNEWS〉

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口 「身に覚えがない請求」一体なぜ？ 過去最悪の『カードの不正利用』 2023年の被害額は約540億円〈カンテレNEWS〉

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口 「身に覚えがない請求」一体なぜ？ 過去最悪の『カードの不正利用』 2023年の被害額は約540億円〈カンテレNEWS〉

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口「身に覚えがない請求」一体なぜ？　過去最悪の『カードの不正利用』　2023年の被害額は約540億円〈カンテレNEWS〉

【ツイセキ】金庫に入れてもカード情報がバレる「クレジットマスター」の手口「身に覚えがない請求」一体なぜ？　過去最悪の『カードの不正利用』　2023年の被害額は約540億円〈カンテレNEWS〉