Applications of Artificial Intelligence in Computer Engineering

Artificial Intelligence is a revolutionary asset in cybersecurity; thus, it provides enhanced ability toward the identification, thwarting, and addressing the changed nature of cyber threats. This, in turn, increases more advanced attack techniques and data explosion growth, making conventional security systems frequently unable to protect further. AI boosts up cyber security by providing fast, immediate threat identification using its capabilities of machine learning algorithms and anomaly detection and predictive analytics. This paper discusses the integration of AI in various cybersecurity domains, including intrusion detection, malware analysis, and endpoint security. It also discusses the challenges associated with the deployment of AI-based solutions, including issues related to data privacy, adversarial threats, and the need for qualified experts. Tackling these issues can greatly enhance security protocols and reduce risks in a constantly evolving threat environment. The research concludes with a discussion on potential paths and innovation required to improve the role AI plays in protecting digital systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-19
DOI
https://doi.org/10.5281/zenodo.14890815
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of Artificial Intelligence in Computer Engineering

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Applications of Artificial Intelligence in Computer Engineering

article en

Abstract

Artificial Intelligence is a revolutionary asset in cybersecurity; thus, it provides enhanced ability toward the identification, thwarting, and addressing the changed nature of cyber threats. This, in turn, increases more advanced attack techniques and data explosion growth, making conventional security systems frequently unable to protect further. AI boosts up cyber security by providing fast, immediate threat identification using its capabilities of machine learning algorithms and anomaly detection and predictive analytics. This paper discusses the integration of AI in various cybersecurity domains, including intrusion detection, malware analysis, and endpoint security. It also discusses the challenges associated with the deployment of AI-based solutions, including issues related to data privacy, adversarial threats, and the need for qualified experts. Tackling these issues can greatly enhance security protocols and reduce risks in a constantly evolving threat environment. The research concludes with a discussion on potential paths and innovation required to improve the role AI plays in protecting digital systems.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Internet of Things and AI
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Applications of Artificial Intelligence in Computer Engineering · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS