Intelligent Sentinels: The Evolving Impact of ArtificiaI Intelligence in Security Information Event Management

Authors

  • Rutuja Dhananjay Wani , Arjun Rajesh Wattamwar , Suyog Suryakant Dhawale , Dr. Araddhana Arvind Deshmukh , Dr Jyoti Chetan Vanikar , Dr Shradha Chavan

Keywords:

Artificial Intelligence, SIEM, Cybersecurity, Machine Learning, Threat Detection, Anomaly Detection, Incident Response

Abstract

The exponential growth of cyber threats and the overwhelming volume of security events haverendered traditional Security Information and Event Management (SIEM) systems inadequate for modern

References

Anderson, M., Chen, L., and Roberts, P. (2023) 'Adversarial machine learning threats to cybersecurity systems: attack vectors and defensive strategies', Computers & Security, 124, 102984

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Published

2024-05-20

How to Cite

Rutuja Dhananjay Wani , Arjun Rajesh Wattamwar , Suyog Suryakant Dhawale , Dr. Araddhana Arvind Deshmukh , Dr Jyoti Chetan Vanikar , Dr Shradha Chavan. (2024). Intelligent Sentinels: The Evolving Impact of ArtificiaI Intelligence in Security Information Event Management. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3011–3026. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4056

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.