Cybersecurity, Ethical Governance, And The Risks Of AI Integration In Countering Hybrid Threats

The article contends that security is now defined as much by protecting cognition as by defending machines or borders, with hybrid threats targeting both technological systems and human perception through advanced AI, deepfakes, and automated manipulation tools. As AI becomes integral to defence, the article emphasises the necessity of rigorous, ethical governance guided by frameworks such as NIST and UNESCO to ensure transparency, accountability, and fairness. It highlights the rise of cognitive encryption and self-learning AI as key to proactively defending against narrative manipulation, bias, and emerging hybrid threats, arguing that responsible innovation, which is grounded in ethical principles and continuous oversight, is vital for maintaining both national sovereignty and the integrity of human judgment in a world where defence must bridge the gap between technology and the human mind.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-16
DOI
https://doi.org/10.5281/zenodo.18239675
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity, Ethical Governance, And The Risks Of AI Integration In Countering Hybrid Threats

Carmen Marsh
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Cybersecurity, Ethical Governance, And The Risks Of AI Integration In Countering Hybrid Threats

Carmen Marsh
article en

Abstract

The article contends that security is now defined as much by protecting cognition as by defending machines or borders, with hybrid threats targeting both technological systems and human perception through advanced AI, deepfakes, and automated manipulation tools. As AI becomes integral to defence, the article emphasises the necessity of rigorous, ethical governance guided by frameworks such as NIST and UNESCO to ensure transparency, accountability, and fairness. It highlights the rise of cognitive encryption and self-learning AI as key to proactively defending against narrative manipulation, bias, and emerging hybrid threats, arguing that responsible innovation, which is grounded in ethical principles and continuous oversight, is vital for maintaining both national sovereignty and the integrity of human judgment in a world where defence must bridge the gap between technology and the human mind.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 89%
Ethics and Social Impacts of AI
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