Generative and Defensive Frontiers of Artificial Intelligence: A Comparative Review of the Creative Industry and Cybersecurity Sectors

Abstract Artificial intelligence is reshaping two fields long assumed to depend on irreducibly human skill: creative media production and cybersecurity. This review synthesizes two independent lines of industry observation into a single comparative account of how generative and analytical AI systems were being absorbed into professional practice as of 2026. In creative production, generative tools moved from producing isolated novelty clips toward supporting integrated workflows spanning pre-production, iterative drafting, post-production, localization, and world-building, with industry surveys reporting adoption across a majority of media teams. In cybersecurity, artificial intelligence shifted threat detection from static signature matching toward behavioral analytics, automated alert triage, and exploitation-aware vulnerability prioritization, while the same generative capabilities were simultaneously being weaponized by attackers to accelerate phishing, credential-based intrusion, and reconnaissance. Read together, the two domains display three recurring patterns: artificial intelligence is best understood as emerging infrastructure rather than a novelty; human judgment remains the primary safeguard against both technical error and malicious use; and governance practices, including disclosure, labeling, and oversight, are becoming a professional competency in their own right. The review concludes that competitive and security advantage is determined less by the fact of AI adoption than by the discipline with which that adoption is supervised. Keywords: generative artificial intelligence; cybersecurity; creative industry; human-AI collaboration; AI governance; dual-use technology Note: This work consolidates and substantially rewrites two earlier notes by the author, originally posted separately on Zenodo, into a single integrated comparative review: Osakwe, E. (2026). How generative AI is changing the modern creative industry. Zenodo. https://doi.org/10.5281/zenodo.22087509 Osakwe, E. (2026). The role of artificial intelligence in modern cybersecurity. Zenodo. https://doi.org/10.5281/zenodo.22087431

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-25
DOI
https://doi.org/10.5281/zenodo.22095774
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Generative and Defensive Frontiers of Artificial Intelligence: A Comparative Review of the Creative Industry and Cybersecurity Sectors

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

Generative and Defensive Frontiers of Artificial Intelligence: A Comparative Review of the Creative Industry and Cybersecurity Sectors

Emmanuel Osakwe
article en

Abstract

Abstract Artificial intelligence is reshaping two fields long assumed to depend on irreducibly human skill: creative media production and cybersecurity. This review synthesizes two independent lines of industry observation into a single comparative account of how generative and analytical AI systems were being absorbed into professional practice as of 2026. In creative production, generative tools moved from producing isolated novelty clips toward supporting integrated workflows spanning pre-production, iterative drafting, post-production, localization, and world-building, with industry surveys reporting adoption across a majority of media teams. In cybersecurity, artificial intelligence shifted threat detection from static signature matching toward behavioral analytics, automated alert triage, and exploitation-aware vulnerability prioritization, while the same generative capabilities were simultaneously being weaponized by attackers to accelerate phishing, credential-based intrusion, and reconnaissance. Read together, the two domains display three recurring patterns: artificial intelligence is best understood as emerging infrastructure rather than a novelty; human judgment remains the primary safeguard against both technical error and malicious use; and governance practices, including disclosure, labeling, and oversight, are becoming a professional competency in their own right. The review concludes that competitive and security advantage is determined less by the fact of AI adoption than by the discipline with which that adoption is supervised. Keywords: generative artificial intelligence; cybersecurity; creative industry; human-AI collaboration; AI governance; dual-use technology Note: This work consolidates and substantially rewrites two earlier notes by the author, originally posted separately on Zenodo, into a single integrated comparative review: Osakwe, E. (2026). How generative AI is changing the modern creative industry. Zenodo. https://doi.org/10.5281/zenodo.22087509 Osakwe, E. (2026). The role of artificial intelligence in modern cybersecurity. Zenodo. https://doi.org/10.5281/zenodo.22087431

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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Generative and Defensive Frontiers of Artificial Intelligence: A Comparative Review of the Creative Industry and Cybersecurity Sectors — Emmanuel Osakwe · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS