Bridging cyber security and privacy: Strategic policy solutions for safeguarding personal data in a digital world

Artificial intelligence (AI) is reshaping cyber security by intensifying threats while simultaneously transforming defensive capabilities. This paper examines how AI-driven cyber security practices intersect with data protection, privacy governance and regulatory accountability. It analyses the implications of automated threat detection, large-scale behavioural monitoring and predictive security tools for individual privacy and institutional compliance, drawing on comparative insights from global privacy and AI governance frameworks. The paper argues that effective cyber security in the AI era requires governance models that integrate technical safeguards with enforceable legal and ethical constraints, ensuring that security objectives are pursued without eroding fundamental privacy rights. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

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Publication Details

Journal
Journal of data protection & privacy.
Published
2026-05-31
DOI
https://doi.org/10.69554/irfz5007
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridging cyber security and privacy: Strategic policy solutions for safeguarding personal data in a digital world

Hrishitva Patel, Suman Garai
Journal of data protection & privacy.
Ethics and Social Impacts of AI
article

Bridging cyber security and privacy: Strategic policy solutions for safeguarding personal data in a digital world

Hrishitva Patel, Suman Garai
article en

Abstract

Artificial intelligence (AI) is reshaping cyber security by intensifying threats while simultaneously transforming defensive capabilities. This paper examines how AI-driven cyber security practices intersect with data protection, privacy governance and regulatory accountability. It analyses the implications of automated threat detection, large-scale behavioural monitoring and predictive security tools for individual privacy and institutional compliance, drawing on comparative insights from global privacy and AI governance frameworks. The paper argues that effective cyber security in the AI era requires governance models that integrate technical safeguards with enforceable legal and ethical constraints, ensuring that security objectives are pursued without eroding fundamental privacy rights. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of data protection & privacy.Vol. 8(4)
Universidad San Carlos (PY), KIIT University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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