The return to school drives the demand for school supplies, electronics, and accessories between July and August. With the increase in sales, the opportunity for more sophisticated digital fraud also grows. According to theBrazilian Public Security Yearbook of DataSenadoIn 2024, Brazilians suffered losses of over R$2.3 trillion due to cybercrimes. The Visa of Brazil reveals that the average ticket of fraudulent transactions was 60% higher than legitimate purchases in the same period.
In this scenario, Nethone, a digital fraud prevention solution, offers artificial intelligence models that analyze hundreds of user and device signals in each transaction, with accuracy and without relying on manual review. The technology is trained with labeled historical data and continuous customer feedback, evolving and adapting to the specificities of each operation.
"Our focus is to empower the client: the AI model does not replace the process, but complements it. Innovation is done together, with continuous learning based on real e-commerce data," explains Thiago Bertacchini, fraud prevention specialist and Head of Sales atNethoneHe emphasizes that the effectiveness of AI is directly related to the quality and quantity of available data — the richer the transactional database, the more effective the fraud prevention.
The growing adoption of so-called agentic commerce—practice in which AI agents perform automated tasks such as shopping and browsing—brings convenience but also unprecedented risks: credential exposure, injection attacks, and malicious bots that simulate human behavior. "With bots as well-trained as legitimate ones, fraud becomes harder to detect. That's why it's essential to have a prevention approach that analyzes context and behavior, not just static rules," warns Bertacchini.
One of the most critical challenges when returning to school 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 — thereby reducing false positives while maintaining a smooth shopping cart 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 times of high demand," concludes the expert.
