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In a scenario where digital transactions grow at the same pace as the sophistication of financial fraud, relying on banking security only on passwords and traditional authentication models can represent a huge risk for banks.
In this context, combining solutions that have artificial intelligence, such as: biometrics, behavioral analysis, contextual authentication, token and others, makes protection more continuous and less conditioned to user action. The focus is no longer only on preventing unauthorized access, but turns to continuous and real-time prevention, based on data and behavior patterns.
Banking security has stopped being an isolated layer to become part of the customer journey. Understanding this change is the starting point for those who want to understand where the financial sector is today and where it is going.
The advancement of digital fraud in the banking sector
In recent years, the volume and complexity of fraud attempts have reached concerning levels. Recent surveys show that consumers’ financial loss worldwide from fraud and scams reached around US$442 billion in 2024. In Brazil, nearly 1.5 million fraud attempts were identified in registrations and identity validations in the first quarter of 2026 alone, a 36.6% increase compared to the same period last year, according to the new Serasa Experian Fraud Map.
These data translate the aggressive and innovative evolution of fraudulent threats in the global scenario, as well as also drive the need for an important transformation: replacing password-based protection mechanisms with authentication models with multiple layers of security.
This new concept of digital authentication, which combines several verification factors, not only reduces risks and financial losses, but also strengthens consumer trust and improves operational efficiency, without compromising the user experience.
Biometrics and behavioral authentication: how they work in banking security
Biometrics has become one of the most relevant validation tools of the new generation of banking security. With features such as facial recognition, fingerprint and voice authentication, banks can now provide extra layers of protection that help validate the user’s identity, reducing fraud rates in financial transactions and credit operations by up to 70%.
In an environment where the balance between protection and friction is important, behavioral authentication models also become great allies for banks. Through this feature, it is possible to analyze how each user interacts with the banking system, considering factors such as location, access time, browsing pattern, typing speed, among others.
At the slightest deviation from the expected pattern, intelligent authentication systems request additional validations or preventively block a certain operation. In practice: less friction for those with legitimate behavior, more blocks for operations outside the pattern — without interrupting the customer’s routine.
How artificial intelligence strengthens banking security
The use of artificial intelligence in banking security advances in the same proportion as fraud becomes more sophisticated. Global financial institutions project investing US$39.1 billion in AI fraud detection by 2030.
With machine learning algorithms and predictive analytics, AI can analyze a large volume of transaction data in real time and identify suspicious patterns that often go unnoticed by manual analyses. With the use of AI in banking security, it is possible to:
What AI detects
- Identify transactions outside the usual behavior pattern;
- Calculate risk levels instantly;
- Detect recurring fraud attempts;
- Continuously learn from new threats.
AI-based banking security systems can evolve along with new threats, reducing false positives and increasing their ability to detect early and block fraud before it causes financial losses for customers and banks.
See how Evertec applies AI in digital solutions for financial institutions.
LGPD, regulatory compliance and fraud prevention: what banks need to comply with
The balance between protection and compliance is as important as fraud prevention in the evolution of banking cybersecurity. With a demanding regulatory environment full of standards associated with data protection, anti-money laundering, digital identity and risk management, banks need robust monitoring and governance systems.
Investing in banking security goes beyond complying with rules or reducing financial losses, but rather strengthening customer trust, preserving reputation and building a culture of continuous security, based on innovation, intelligence and permanent updating.
How AI, biometrics and multifactor authentication work together in fraud prevention
Banking security today operates from an integrated set of technologies: AI, biometrics, digital authentication and behavioral analysis, which work together to detect and contain threats before they cause real impact. It is not a trend: it is the infrastructure that competitive financial institutions are already building now.
Evertec is a leader in end-to-end technology in Latin America and the Caribbean, with a complete portfolio in antifraud and digital journeys. Learn about the fraud prevention solutions for financial institutions.
