Balancing data protection with continuous improvement in predictive maintenance is challenging. The case of study on the ToolDetective startup achieves this balance using Federated Learning (FL), securing data in ISO 27001-compliant systems while refining deep learning models on tool wear segmentation. In this session, we discuss how FL enables manufacturers to benefit from collective insights without risking data privacy, showcasing FL as a solution for data security in predictive maintenance.