AI Security Continuum: Concept and Challenges

We propose a conceptual framework, named "AI Security Continuum," consisting of dimensions to deal with challenges of the breadth of the AI security risk sustainably and systematically under the emerging context of the computing continuum as well as continuous engineering. The dimensions i...

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Bibliographic Details
Published in2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN) pp. 269 - 270
Main Authors Washizaki, Hironori, Yoshioka, Nobukazu
Format Conference Proceeding
LanguageEnglish
Japanese
Published ACM 14.04.2024
Subjects
AI Security
Artificial intelligence
Automation
Computer architecture
Metamodel
Risk management
Security
Security Risk Management
Software engineering
Software Engineering for AI and Machine Learning
Online AccessGet full text
DOI10.1145/3644815.3644983

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Summary:We propose a conceptual framework, named "AI Security Continuum," consisting of dimensions to deal with challenges of the breadth of the AI security risk sustainably and systematically under the emerging context of the computing continuum as well as continuous engineering. The dimensions identified are the continuum in the AI computing environment, the continuum in technical activities for AI, the continuum in layers in the overall architecture, including AI, the level of AI automation, and the level of AI security measures. We also prospect an engineering foundation that can efficiently and effectively raise each dimension.
DOI:10.1145/3644815.3644983