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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Enhancing Cybersecurity with AI: Threat Detection, Risk Forecasting and Data Safeguards

Authors: Karolia Hemali Mehul;

Enhancing Cybersecurity with AI: Threat Detection, Risk Forecasting and Data Safeguards

Abstract

Artificial Intelligence (AI) is increasingly adopted in cybersecurity to overcome the limits of traditional methods. Using machine learning, deep learning, and analytics, AI enables real-time monitoring, anomaly detection, and automated responses. Its applications span threat detection (intrusion and malware identification, including zero-day exploits), threat analysis (predictive models for vulnerabilities and proactive defense), and data protection (enhanced encryption, insider threat detection, and regulatory compliance). While challenges such as adversarial AI, ethical concerns, and implementation barriers remain, AI offers a transformative path toward proactive, adaptive, and resilient cybersecurity systems.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green