Enhancing Future Web and App Security with Artificial Intelligence: A Shield Against Emerging Cyber Threats

This research paper explores the potential of Artificial Intelligence (AI) in strengthening the future of cybersecurity for websites and mobile applications. As cyber threats grow in complexity and frequency, traditional security mechanisms are proving insufficient. The study analyzes how AI technologies can proactively detect anomalies, prevent cyberattacks, and adapt to evolving vulnerabilities in real time. It also highlights AI's role in intelligent authentication, behavioral monitoring, and predictive defense. Furthermore, the paper addresses the ethical challenges, privacy considerations, and limitations associated with AI-based security frameworks. This work provides a forward-looking perspective on how AI can revolutionize cybersecurity and ensure safer digital ecosystems. Some portions of this work were assisted by AI-based tools for language enhancement and content structuring. All ideas, analysis, and final editorial decisions were conducted and approved by the author.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15726674
Primary Topic
Clay minerals and soil interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Future Web and App Security with Artificial Intelligence: A Shield Against Emerging Cyber Threats

Zenodo (CERN European Organization for Nuclear Research)
Clay minerals and soil interactions
article

Enhancing Future Web and App Security with Artificial Intelligence: A Shield Against Emerging Cyber Threats

article en

Abstract

This research paper explores the potential of Artificial Intelligence (AI) in strengthening the future of cybersecurity for websites and mobile applications. As cyber threats grow in complexity and frequency, traditional security mechanisms are proving insufficient. The study analyzes how AI technologies can proactively detect anomalies, prevent cyberattacks, and adapt to evolving vulnerabilities in real time. It also highlights AI's role in intelligent authentication, behavioral monitoring, and predictive defense. Furthermore, the paper addresses the ethical challenges, privacy considerations, and limitations associated with AI-based security frameworks. This work provides a forward-looking perspective on how AI can revolutionize cybersecurity and ensure safer digital ecosystems. Some portions of this work were assisted by AI-based tools for language enhancement and content structuring. All ideas, analysis, and final editorial decisions were conducted and approved by the author.

Zenodo (CERN European Organization for Nuclear Research)
Cyber Laser (Japan) (JP)
Openalex Percentile: Top 64%
Clay minerals and soil interactions
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Enhancing Future Web and App Security with Artificial Intelligence: A Shield Against Emerging Cyber Threats · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS