Sustainable Cybersecurity: Green AI Models for Securing Data Center Infrastructure

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Gopalakrishna Karamchand

Abstract

The rapid expansion of data center infrastructure has intensified concerns over energy consumption and environmental impact, especially in the context of increasingly sophisticated cybersecurity demands. Traditional AI-based cybersecurity models, while effective, often require substantial computational power, contributing significantly to the carbon footprint of digital systems. This article explores the emerging paradigm of Green AI energy-efficient, environmentally conscious artificial intelligence as a sustainable alternative for securing data center operations. By integrating lightweight models, optimized algorithms, and edge-computing frameworks, Green AI presents a viable path toward reducing energy usage without compromising security effectiveness. The paper evaluates current implementations, outlines key challenges in adoption, and proposes a future framework that aligns cybersecurity resilience with environmental sustainability. Ultimately, it argues that Green AI is not only a technological necessity but also an ethical imperative in the evolution of digital infrastructure.

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