Cybersecurity 5.0: From Firewalls to Fully Autonomous Digital Protection

The cybersecurity world has experienced a generational shift from system-based monitoring and border protection to wholly autonomous, AI-powered systems. The current paper follows the development of cybersecurity architectures across five generations and concludes with the 5.0 paradigm, characterized by agentic AI, Zero Trust architecture (ZTA), and self-directed incident response. Using the latest empirical sources, the paper will explore how machine learning, adversarial AI modeling, and autonomous response mechanisms are transforming organizational security postures in an age of increasingly sophisticated threats. It has been established that AI-based systems significantly reduce detection latency and breach costs, but at the same time pose governance and adversarial risks that will require preemptive policy-technical efforts (Kshetri, 2025; Adeyemi, 2023).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-14
DOI
https://doi.org/10.5281/zenodo.19016854
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity 5.0: From Firewalls to Fully Autonomous Digital Protection

Dr. Alex Mathew1* & Westerman Sydney2
Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

Cybersecurity 5.0: From Firewalls to Fully Autonomous Digital Protection

Dr. Alex Mathew1* & Westerman Sydney2
article en

Abstract

The cybersecurity world has experienced a generational shift from system-based monitoring and border protection to wholly autonomous, AI-powered systems. The current paper follows the development of cybersecurity architectures across five generations and concludes with the 5.0 paradigm, characterized by agentic AI, Zero Trust architecture (ZTA), and self-directed incident response. Using the latest empirical sources, the paper will explore how machine learning, adversarial AI modeling, and autonomous response mechanisms are transforming organizational security postures in an age of increasingly sophisticated threats. It has been established that AI-based systems significantly reduce detection latency and breach costs, but at the same time pose governance and adversarial risks that will require preemptive policy-technical efforts (Kshetri, 2025; Adeyemi, 2023).

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 27%
Network Security and Intrusion Detection
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