CAI Fluency: A Framework for Cybersecurity AI Fluency
V\'ictor Mayoral-Vilches, Jasmin Wachter, Crist\'obal R. J. Veas Chavez, Cathrin Schachner, Luis Javier Navarrete-Lozano, Mar\'ia Sanz-G\'omez

TL;DR
CAI Fluency is an educational platform designed to promote understanding and effective use of cybersecurity AI tools, emphasizing practical skills, critical thinking, and ethical considerations for security practitioners.
Contribution
It introduces the CAI Fluency framework, adapting AI fluency modalities and competencies specifically for cybersecurity, fostering responsible and widespread adoption.
Findings
Provides a comprehensive educational guide for cybersecurity AI tools
Defines core competencies and interaction modalities for cybersecurity AI fluency
Aims to democratize cybersecurity AI knowledge globally
Abstract
This work introduces CAI Fluency, an an educational platform of the Cybersecurity AI (CAI) framework dedicated to democratizing the knowledge and application of cybersecurity AI tools in the global security community. The main objective of the CAI framework is to accelerate the widespread adoption and effective use of artificial intelligence-based cybersecurity solutions, pathing the way to vibe-hacking, the cybersecurity analogon to vibe-coding. CAI Fluency builds upon the Framework for AI Fluency, adapting its three modalities of human-AI interaction and four core competencies specifically for cybersecurity applications. This theoretical foundation ensures that practitioners develop not just technical skills, but also the critical thinking and ethical awareness necessary for responsible AI use in security contexts. This technical report serves as a white-paper, as well as detailed…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Network Security and Intrusion Detection
