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Cyber Resilience: From Payday to Prevention: A Proactive Framework to Counter the Projected $275 Billion Ransomware Economy by 2031
Abstract
Ransomware has grown from an occasional IT incident into a standing threat to business continuity, public services, and national resilience. Global damage costs are estimated to have climbed from about $325 million in 2015 to roughly $57 billion in 2025, with one industry forecast putting annual costs above $275 billion by 2031 and attacks arriving as often as every two seconds — yet many organisations still fall back on reactive pay-and-restore strategies that do little for downtime, data exposure, or repeat victimisation. This paper builds a practical, auditable framework that organisations can put in place before an incident to prevent, detect, respond to, and recover from ransomware attacks. The study synthesises the 2015–2031 forecast trajectory, established guidance including the NIST Cybersecurity Framework 2.0 and Zero Trust Architecture, and recent threat reporting on Ransomware-as-a-Service, multi-extortion, and AI-enabled intrusion, and turns that synthesis into sequenced action plans and board-level metrics. A five-pillar framework — Prevent, Detect, Respond, Recover, and Govern — with controls ordered by their effect on initial access, identity, and recovery, alongside a 90-day stabilisation plan, a 12-month hardening plan, and six quarterly board metrics centred on coverage and proven recovery time. Prevention is necessary but not enough on its own. Organisations that combine phishing-resistant authentication, rapid patching, early detection, immutable and regularly tested recovery, and explicit governance stand a far better chance of keeping a ransomware incident survivable, and the framework gives future field studies something concrete to evaluate.
Article information
Journal
Journal of Computer Science and Technology Studies
Volume (Issue)
7 (9)
Pages
804-810
Published
Copyright
Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
Open access

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