The Real Story of AI in Financial Fraud Detection and Why It Matters to You
Wait, how did the bank know that wasn’t me?
Have you ever been in a situation where you are trying to buy something on another continent and happen to have your credit card decline? Only to find out shortly after that you get an alert on the banking app asking, “Is this you?”
It is a little disconcerting to feel like you are being watched from behind. In the past, the bank would have a staff member call you on the following day to let you know that the card cannot approved. In most cases, by this time the scammer will have drained your account. However, today with the advancement of artificial intelligence, these same transactions happen almost instantaneously because AI is working 24/7 to detect any fraud.
Scams in Malaysia and throughout Asia have progressed to become extremely “professional”. Meaning these scammers work together like corporations using technology to commit their scams by using fake APKs and “air assault” phishing links. Therefore, banks have had to move away from basic “if then statements” to using advanced AI in financial fraud detections. Rather than executing transactions based on a script, fraud detection systems are learning your pattern of behavior. Therefore, they can identify a “fake you” prior to executing the transaction.
The evolution from “Simple Rules” to AI in financial fraud detection
Approximately ten years back, banks utilized static terms to determine whether to block a transaction. For instance, if a spend were more than $5,000 then that transaction would be flagged. However, fraudsters realized that they could just steal $4,999 or execute many smaller transactions on the scales of $100. But the traditional models didn’t spot those behaviors because they lacked the connective ability to find patterns. Once machine learning fraud-detection technology took off, by taking an individual transaction. As well as all the other surrounding factors this changed the landscape.
If for example, you’re normally spending at a grocery store in Subang Jaya on Sundays and simultaneously your credit/debit card is being utilized for luxury watches in London than it is flagged as a qualification an irregularity. In a sense you could look at machine learning (AI) for fraud detection as a well-informed digital security guard looking at your spending patterns. If machine learning can recognize your normal spending patterns, it will detect each pattern that is outside of established parameters as a fraudulent activity. Therefore, machine learning requires absolutely no human interaction to ascertain. Whether a transaction is attributed to fraud, they will look for similar behaviors/patterns themselves.
The Core Insight
Key TakeawaySpeed is the Ultimate Defense
The true power of AI in financial fraud detection lies in its sub-second processing. By analyzing thousands of data points instantly, it stops fraudulent transfers before the money leaves the ecosystem, something human auditors simply cannot do at scale.
Why AI in financial fraud detection is a lifesaver in the digital age
Lets discuss the “Mule Account” issue. In Malaysia we see a great many examples of scamsters transferring money through 5 or 6 different accounts in minutes to cover their tracks. By the time banks use manual checking, the money could be in a crypto wallet or a foreign bank account. That is why it is so important to have real-time fraud detection AI. These AI fraud analytics platforms can monitor millions of transactions at once. They can also identify and recognize “network patterns”. Such as a sudden surge of transfers between accounts that have never previously transacted with one another.
When you use a current banking app, the AI fintech security solutions are also analyzing how you behave. Which is your typing speed normal when entering your password or are you a bot pasting your code at superfast speeds? Are you using an unusual Wi-Fi network? All of these minute details play a role in how the AI anti-fraud technology systems decide whether or not the transaction is a fraudulent one. It’s not just about the money. It’s also about the behavior.
The “False Positive” headache
There are times when an AI is overly protective and you receive a card blocked message for purchasing sneakers from a Japanese retailer. False positives in the industry. Banks are continually refining their fraud management systems to limit annoyance to consumers and make security as frictionless as possible. Some AI credit card fraud systems use behavioral biometrics to determine whether to require a TAC for all small transactions. By identifying how you swipe and hold your phone, it can let you through without requiring verified identification. However, if it appears you aren’t doing it in your normal way, then it would require verification of your identity. It is a constant game between the two. Scammers are creating AI-assisted email phishing attacks and banks are using AIs to detect those subtle attacks. Every day, banks are in an invisible arms race against cybercriminals on their servers.
How to stay safe while AI does its job
Even though AI-assisted fraud prevention is very powerful, it will be very effective when we do not make it easy for a scammer. A good example of this is to think of AI as an advanced security system in your home. It’s great technology but still a very bad idea to leave your front door wide open. The majority of the scams that are considered “successful” are due to someone being fooled into giving up their one-time password (OTP). Other than that is clicking a link that allows the scammer to take control of the person’s device. If a scammer has access to your phone and your credentials, then the best AI systems today may not be able to help you very much. It is because you gave up the access without realizing it.
Companies like SmartGuard and some cybersecurity firms always remind us that “the human element” is our last line of defense. AI serves as a shield, but our awareness serves as the handle with which we hold the shield. If your bank’s AI cues you about a transaction, do not upset about it. Be happy that the system is working. If you receive a call from someone purporting to be calling from the “LHDN” or “PosLaju” requesting your bank account information. Remember that your bank already has your information and AI is already detecting any abnormalities. You do not have to “verify” any information when speaking with someone on the phone. A banking system has a future that does not require any concern over security because security is built into the overall experience. Whether it is through the implementation of sophisticated AI to detect financial fraud or through consumer education, the ultimate objective is the same. Keep your money where it belongs – with you.
How safe is your money in the age of AI?
Security FAQAnswering the most common concerns about how technology protects—and occasionally blocks—your transactions.
