Deciphering Human Error: Improving Cybersecurity Reporting

Human error is a leading cause of cybersecurity breaches, yet inconsistent reporting due to a lack of structured frameworks hinders mitigation. Analysis of five major 2024 cybersecurity reports (Verizon DBIR, IBM, ENISA, Microsoft, Global CISO Survey) reveals how human error is characterized and quantified. Significant inconsistencies, gaps, and ambiguities are identified in classifying “human error” across these sources. Current industry reporting lacks a standardized taxonomy, hampering comparison and effective mitigation strategy development. Drawing on established frameworks (e.g., HFACS, Swiss Cheese Model), integrating a formal human factors classification system into reporting is proposed to improve clarity and actionability. The need for an integrated systemic framework is underscored, calling for industry adoption of standardized human error classification to enable more effective cybersecurity strategies.