AI-Powered Cloud Automation for Defence and Government: Challenges and Innovations in Secure Deployments
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V2I2P103Keywords:
Artificial Intelligence (AI), Cloud Automation, Defence Technology, Government Applications, Secure Deployments, Cybersecurity, Data Privacy, Regulatory ComplianceAbstract
The integration of artificial intelligence (AI) and cloud computing has transformed the landscape of technology in the defence and government sectors, offering unprecedented opportunities for enhancing operational efficiency, scalability, and security. AI-powered cloud automation has the potential to revolutionize secure deployments in these high-stakes environments, providing real-time data analysis, autonomous decision-making, and optimized resource allocation. However, the implementation of AI in cloud environments for defence and government applications is fraught with significant challenges, including cybersecurity risks, data privacy concerns, and compliance with stringent regulations. These issues necessitate innovative solutions to ensure the security and reliability of AI-driven cloud systems. This paper discusses the benefits, challenges, and innovations surrounding AI-powered cloud automation, focusing on secure deployments in defence and government sectors. Key advancements in cryptography, federated learning, blockchain, and zero-trust architecture are examined, illustrating the potential for these technologies to mitigate security risks and improve system robustness. Furthermore, the paper highlights successful case studies that showcase the practical applications of AI and cloud automation in defence and government agencies, with a particular emphasis on cybersecurity, military logistics, and real-time threat detection. By analyzing current developments and emerging trends, this paper provides a comprehensive overview of the state-of-the-art in AI-powered cloud automation, addressing both the technological innovations and the policy considerations needed to ensure secure and efficient deployments in national security contexts. As AI continues to evolve, the need for collaboration among stakeholders in academia, industry, and government will be essential to overcome existing challenges and unlock the full potential of AI-driven cloud automation for defence and government applications
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