The back-to-school season boosts demand for school supplies, electronics, and accessories between July and August. With increased sales, the opportunity for more sophisticated digital fraud also grows. According to the Brazilian Public Security Yearbook by DataSenado, in 2024, Brazilians suffered losses of over R$2.3 trillion due to cybercrimes. Meanwhile, Visa Brazil reveals that the average ticket size of fraudulent transactions was 60% higher than that of legitimate purchases during the same period.
Given this scenario, Nethone, a digital fraud prevention solution, offers artificial intelligence models that analyze hundreds of user and device signals in each transaction with precision and without relying on manual review. The technology is trained with labeled historical data and continuous customer feedback, evolving and adapting to the specifics of each operation.
“Our focus is to empower the customer: the AI model doesn’t replace the process but complements it. Innovation is done collaboratively, with constant learning based on real e-commerce data,” explains Thiago Bertacchini, fraud prevention specialist and Head of Sales at Nethone. He highlights that AI’s effectiveness is directly related to the quality and quantity of available data—the richer the transactional database, the more effective the defense against fraud.
The increasing adoption of so-called agentic commerce—a practice where AI agents perform automated tasks like shopping and browsing—brings convenience but also unprecedented risks: credential exposure, injection attacks, and malicious bots that mimic human behavior. “With bots as well-trained as legitimate ones, fraud becomes harder to detect. That’s why a prevention approach that analyzes context and behavior, not just static rules, is essential,” warns Bertacchini.
One of the most critical challenges during back-to-school season is avoiding incorrect blocks on legitimate consumers, which can compromise conversion. Nethone uses proprietary technology to map thousands of signals in real time—from behavioral patterns to variations in the shopping environment—thus reducing false positives and maintaining a smooth checkout flow.
“Security doesn’t need to hinder sales. With AI and behavioral data, it’s possible to protect e-commerce without creating barriers to the user experience—especially during peak demand periods,” concludes the expert.
