With the growth of digital transactions, especially with instant means such as PIX, the volume of fraud attempts has increased exponentially
Have you ever received a message from the bank asking for data confirmation? Or a call saying that a suspicious purchase was made on your card? In 2026, this type of approach stopped being an exception and became part of the digital routine of millions of people. The problem is that, often, these messages do not come from the bank, but from increasingly sophisticated criminals.
The current scenario shows a paradox: we have never had so many security mechanisms available and, at the same time, there have never been so many digital scams happening. This happens because fraud is no longer just technical and has become strategic, behavioral and highly scalable.
With the growth of digital transactions, especially with instant means such as PIX, the volume of fraud attempts has increased exponentially. Estimates from the global financial sector point to losses exceeding hundreds of billions of dollars per year. In Brazil, the advancement of digital banking and financial applications has brought convenience, but also expanded the attack surface.
The most critical point is that most of these scams do not depend on system failures, but on psychological manipulation. The criminal does not need to invade a server when he can convince the victim to provide their data. This type of attack, known as social engineering, has become the main vector of modern fraud.
Faced with this scenario, companies like Visa began investing billions of dollars in prevention technologies. Today, each transaction carried out with a card or digital wallet undergoes a real-time analysis that considers hundreds of variables simultaneously. It’s not just about checking balance or limit, but about understanding user behavior.
These systems analyze consumption patterns, geographic location, type of device, frequency of use and even the context of the transaction. A non-standard purchase, whether due to value, location or time, can be automatically blocked or flagged for additional validation. All of this happens in fractions of a second, before the user even notices.
The main protagonist of this evolution is Artificial Intelligence. Machine learning models are trained with billions of global transactions and can identify patterns invisible to the human eye. This allows fraud to be detected with increasingly greater levels of precision, reducing losses for both institutions and consumers.
But there is another side to this story: criminals are also using Artificial Intelligence. Today, scams are created with impressive quality. Fraudulent messages no longer have obvious Portuguese errors, emails are personalized with real data and calls can use digitally cloned voices.
This new generation of fraud creates an “AI against AI” scenario, where defense and attack systems evolve simultaneously. If before the user could easily identify a scam, today the line between legitimate and fraudulent is increasingly blurred.
Another important advance in protection is the use of biometrics and behavioral analysis. It’s no longer enough to know your password or have access to your device. Modern systems can identify how you interact with your cell phone, your typing rhythm, the way you hold the device, your navigation pattern. These elements function as an invisible signature, difficult for third parties to replicate.
Even so, technology alone does not solve the problem. The human factor remains the most vulnerable link. Most successful frauds occur because the user himself, under pressure or urgency, ends up providing sensitive information. Scammers exploit emotions such as fear, haste and authority to induce quick and poorly thought-out decisions.
Therefore, digital security today depends on a combination of advanced technology and conscious behavior. Banks and companies can invest billions in protection, but a single wrong user decision can compromise the entire system.
The reality is that you are no longer just a user and have become an active part of the security system. Every click, every authorization and every interaction directly influences the protection of your money.
Given this scenario, it becomes clear that the fight against digital fraud requires an integrated approach, involving Artificial Intelligence, behavioral analysis, regulation and user education. Technology will continue to evolve, but the ability to adapt and vigilance will be the difference between being protected or becoming a victim.
It is precisely in this context that the CNPPD 2026 – National Congress of Data Privacy Professionals positions itself as an essential space to discuss the impacts of digital fraud, the use of Artificial Intelligence in security and strategies to protect data and financial assets in an increasingly challenging environment. The event brings together experts to debate how to face this new generation of threats in a cyberwar scenario.
Do you want to delve deeper into the subject, do you have any questions, comments or want to share your experience on this topic? Write to me on Instagram: @davisalvesphd.
*This text does not necessarily reflect the opinion of Jovem Pan.
