AIDAS: An AI-Driven Autonomous Security Decision Framework for Dynamic Threat Response in Modern Cyber Environments

Authors

  • Yaakulya Sabbani ,Abrar Ahmad Ansari

Keywords:

Artificial Intelligence, Cybersecurity, Autonomous Systems, Decision Framework, Threat Response, Security Operations, Machine Learning

Abstract

The exponential growth in cyber threats, with over 4.8billion cyberattacks recorded globally in 2023 representing a 38%
increase from the previous year, has overwhelmed traditional humancentric security operations centers (SOCs). Current SOC

References

(1)Cybersecurity Ventures, ”2023 Global Cybercrime Report,” Cybersecurity

Ventures, 2023.

(ISC)², ”2023 Cybersecurity Workforce Study,” International Information

System Security Certification Consortium, 2023.

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Published

2025-06-12

How to Cite

Yaakulya Sabbani ,Abrar Ahmad Ansari. (2025). AIDAS: An AI-Driven Autonomous Security Decision Framework for Dynamic Threat Response in Modern Cyber Environments . Journal of Computational Analysis and Applications (JoCAAA), 34(6), 65–72. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2962

Issue

Vol. 34 No. 6 (2025): JOCAAA

Section

Articles

License

Creative Commons License

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