Adaptive AI-Driven Cybersecurity Framework for Real-Time Threat Detection and Automated Response in Evolving Digital Environments

K. A. Ajmath, Joy Pranahitha A., Doddi Srilatha, S. Janani, Subathra N., N. Shirisha

2025

Abstract

The growing number and sophistication of threats in modern digital environments require intelligent and adaptive defense systems. This work presents an AI-driven real-time cybersecurity framework to automate the detection and response of threats, aiming to overcome the shortcomings of state-of-the-art models, such as sluggish mitigation, fixed threat analysis, and generic zero-days resistance. Through a combination of techniques from deep learning, reinforcement learning, and explainable AI, this hybrid-based system improves efficiency of decision-making, and scalability with a transparent decision methodology. Unlike existing methods, this model is generic, tested on multiple infrastructures and applies dynamic behavior profiling to predict and prevent new attack vectors. The architecture is agnostic to cloud, on premise and hybrid instances, making it broadly applicable. The efficacy of the system is demonstrated through real-world traces, and the results show that the proposed system is superior in identifying polymorphic malware, protecting against DDoS attacks, and automatically reacting to multi-vector intrusions with low latency. This study introduces a scalable and interpretable AI cybersecurity model ready for next generation threat spaces.

Paper Citation

in Harvard Style

Ajmath K., A. J., Srilatha D., Janani S., N. S. and Shirisha N. (2025). Adaptive AI-Driven Cybersecurity Framework for Real-Time Threat Detection and Automated Response in Evolving Digital Environments. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 435-442. DOI: 10.5220/0013931000004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Ajmath and Joy A. and Doddi Srilatha and S. Janani and Subathra N. and N. Shirisha},
title={Adaptive AI-Driven Cybersecurity Framework for Real-Time Threat Detection and Automated Response in Evolving Digital Environments},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={435-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013931000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Adaptive AI-Driven Cybersecurity Framework for Real-Time Threat Detection and Automated Response in Evolving Digital Environments
SN - 978-989-758-777-1
AU - Ajmath K.
AU - A. J.
AU - Srilatha D.
AU - Janani S.
AU - N. S.
AU - Shirisha N.
PY - 2025
SP - 435
EP - 442
DO - 10.5220/0013931000004919
PB - SciTePress