AI-Powered Cybersecurity: Detecting and Preventing Modern Threat

This paper explores upon the area of artificial intelligence and cybersecurity, emphasizing the transformative potential of AI in identifying and mitigating modern cyber threats. Some of the key applications are AI-powered threat detection, anti- phishing, defense against malware and ransomware, and real-time network traffic analysis. With the integration of ML algorithms, the platforms like Darktrace, Cylance, Proofpoint, and IBM QRadar are progressing with threat intelligence and automated incident response, making it easier for organizations to predict and thwart evolving threats. The use of AI is improving endpoint protection, fraud detection, and cloud security -proactive measures to vulnerabilities. Investment trend shows that funding does positively correlate with AI-based cybersecurity apps efficiency. This report underlines the crucial role that AI plays today in modern cybersecurity, tackling increasing sophisticated cyber-attacks, while simultaneously noting opportunities for further developments in threat mitigation strategies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-06
DOI
https://doi.org/10.5281/zenodo.14287584
Citations
1
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.73
Controls
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article

AI-Powered Cybersecurity: Detecting and Preventing Modern Threat

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Advanced Optimization Algorithms Research
0.73
article

AI-Powered Cybersecurity: Detecting and Preventing Modern Threat

article en
1 citations

Abstract

This paper explores upon the area of artificial intelligence and cybersecurity, emphasizing the transformative potential of AI in identifying and mitigating modern cyber threats. Some of the key applications are AI-powered threat detection, anti- phishing, defense against malware and ransomware, and real-time network traffic analysis. With the integration of ML algorithms, the platforms like Darktrace, Cylance, Proofpoint, and IBM QRadar are progressing with threat intelligence and automated incident response, making it easier for organizations to predict and thwart evolving threats. The use of AI is improving endpoint protection, fraud detection, and cloud security -proactive measures to vulnerabilities. Investment trend shows that funding does positively correlate with AI-based cybersecurity apps efficiency. This report underlines the crucial role that AI plays today in modern cybersecurity, tackling increasing sophisticated cyber-attacks, while simultaneously noting opportunities for further developments in threat mitigation strategies.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Advanced Optimization Algorithms Research
0.73
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