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August 1, 2025Open Access

The Anatomy of Digital Risk: Predicting Cybersecurity Incidents Through Behavioral, Cognitive, and Personality Indicators in Blurred Work–Life Environments

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Authors

LBLászló Bognár

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Overview

Survey data reveals behavioral and personality traits predict cybersecurity incidents in blurred work-life settings, suggesting a comprehensive framework for assessment.

Key Points

  • A comprehensive framework predicts cybersecurity incidents using behavioral, cognitive, and personality indicators.
  • Surveys with 453 professionals identified 72 logistic regression models for various incident outcomes.
  • Moderately prevalent incidents like suspicious logins were predicted more accurately than rare events.
  • The approach integrates ethical considerations and offers practical utility for diverse organizations.

Cite This Study

László Bognár (2025) studied this question.

synapsesocial.com/papers/689a0c65e6551bb0af8cfb4chttps://doi.org/10.20944/preprints202507.2474.v1
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