CYBER SECURITY ESSENTIALS FOR SOCIAL WORKERS: MITIGATING AI-DRIVEN SOCIAL ENGINEERING THROUGH SURVEY-BASED BEHAVIORAL INTERVENTIONS
DOI:
https://doi.org/10.71146/kjmr962Keywords:
cyber security, social engineering, Survey-Informed Behavioral Intervention (SIBI), identity trackingAbstract
The rapid evolution of artificial intelligence has introduced sophisticated cyber security threats, particularly in the form of AI-driven social engineering. Social workers, who handle highly sensitive and confidential client data, are increasingly targeted by these advanced attacks despite often lacking extensive technical training. This paper explores the intersection of human behavior, survey data analytics, and cyber security to propose a comprehensive framework designed specifically for the social work sector. By leveraging hypothetical survey data to identify psychological vulnerabilities and utilizing AI-simulated phishing campaigns for targeted education, this study outlines a method to transition cyber security awareness from passive compliance to active behavioral change. Ultimately, this research demonstrates that mitigating modern cyber threats in non-technical domains requires a multidisciplinary approach that prioritizes human-centric training alongside technological safeguards.
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Copyright (c) 2026 Dr Anum Ali, Muhammad Aslam (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
