August 11, 2025

AI and Machine Learning in Cyber Security

Key Points

AI and ML enhance threat detection, improving response times against evolving cybersecurity risks.
Key metrics show AI-driven solutions significantly reduce anomaly identification times by nearly half.
Analysis emphasizes the importance of automated defense mechanisms in tackling sophisticated cyber threats.
Challenges in AI-driven cybersecurity highlight the need for continuous adaptation to shifting threat landscapes.

Abstract

Cybersecurity threats are evolving rapidly, requiring advanced and automated defense mechanisms. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools for detecting, preventing, and mitigating cyber threats. This paper exploresthe role of AI and ML in cybersecurity, highlighting their applications in threat detection, anomaly identification, and predictive analytics. Additionally, the paper discusses the challenges and future directions of AI-driven cybersecurity solutions.

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Cite This Study

Anas et al. (Thu,) studied this question.

synapsesocial.com/papers/68a35ef30a429f797332842c https://doi.org/https://doi.org/10.38124/ijisrt/25jul703

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