Operationalizing Managed Detection and Response in SMEs: A Behavioral Framework for Bridging the Resource-Risk Gap

Abstract

Purpose: Small and Medium-sized Enterprises (SMEs) increasingly face sophisticated cyber threats formerly reserved for large corporations. While Managed Detection and Response (MDR) services offer a viable technical solution for 24/7 threat coverage, adoption rates remain suboptimal. This study investigates the intersection of economic constraints and behavioral psychology to understand the barriers preventing SMEs from operationalizing effective cybersecurity.

Design/Methodology/Approach: This paper employs a mixed-methods approach, synthesizing recent data on SME cyber-hygiene with Social Learning Theory. We analyze the relationship between "Cybersecurity Self-Efficacy"—the belief in one’s ability to execute security measures—and the propensity to invest in external MDR services.

Findings: The analysis reveals that financial limitations are not the sole barrier to adoption. Significant correlation exists between low cybersecurity self-efficacy and the rejection of MDR services. SMEs often suffer from an "optimism bias," underestimating insider threats and overestimating the protective capability of basic firewalls. Furthermore, the study identifies that effective MDR service design must incorporate educational components to bridge the confidence gap.

Originality/Value: By integrating behavioral psychology with technical service design, this research proposes a new framework for cybersecurity governance. It moves beyond the binary of "cost vs. security" to highlight how cognitive factors influence risk management decisions in the SME sector.