Data minimization is a crucial security control that is often overlooked, despite its potential to significantly enhance resilience. By reducing the volume of data stored, organizations can minimize the impact of breaches and limit the leverage of ransomware attacks. This approach also improves the efficiency of security operations centers (SOCs) by reducing the amount of data that needs to be monitored and analyzed. Furthermore, data minimization is essential for securing the use of artificial intelligence (AI) in organizations, as it reduces the risk of AI systems being compromised by large amounts of sensitive data. Reducing data volume is particularly important for chief information security officers (CISOs) and SOCs, as it enables them to focus on high-priority threats and respond more effectively to incidents. According to recent analysis1, data minimization is the ultimate enabler of resilience, and its importance cannot be overstated. By adopting a data minimization strategy, organizations can reduce their risk exposure and improve their overall security posture. This approach is not a constraint on innovation, but rather a key enabler of secure and efficient operations, so implementing data minimization measures is essential for practitioners seeking to strengthen their organization's security.