AI for System Security Design: A Good Tool or a Dangerous Weapon?

ABSTRACT As artificial intelligence (AI) tools have become more popular, industries wrestle with their effective use in the workplace. With promises of increasing efficiency and reducing complexity, it is tempting for systems engineers to use AI tools to quickly generate security requirements and skip engagement with systems security practitioners. The proliferation of AI tools that have been trained with security controls invites misguided approaches that deliver systems that are not secure in the operational environment. AI literacy is important to understand both the benefits and the limitations of AI to use it ethically and effectively.

Authors

Publication Details

Journal
Insight
Published
2025-07-01
DOI
https://doi.org/10.1002/inst.12546
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for System Security Design: A Good Tool or a Dangerous Weapon?

Beth Wilson
Insight
Adversarial Robustness in Machine Learning
article

AI for System Security Design: A Good Tool or a Dangerous Weapon?

Beth Wilson
article en

Abstract

ABSTRACT As artificial intelligence (AI) tools have become more popular, industries wrestle with their effective use in the workplace. With promises of increasing efficiency and reducing complexity, it is tempting for systems engineers to use AI tools to quickly generate security requirements and skip engagement with systems security practitioners. The proliferation of AI tools that have been trained with security controls invites misguided approaches that deliver systems that are not secure in the operational environment. AI literacy is important to understand both the benefits and the limitations of AI to use it ethically and effectively.

InsightVol. 28(3)
Openalex Percentile: Top 92%
Adversarial Robustness in Machine Learning
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AI for System Security Design: A Good Tool or a Dangerous Weapon? — Beth Wilson · Insight (2025) | TGRS Research Map | TGRS