Cybersecurity and Compliance Automation Framework for Cloud-Based Enterprise Systems Powered by AI
DOI:
https://doi.org/10.15662/IJARCST.2024.0705014Keywords:
Artificial Intelligence, Cybersecurity Automation, Cloud Security, Compliance Automation, Enterprise Cloud Systems, Machine Learning Security, Threat Detection, Security Analytics, Regulatory Compliance, Cloud Risk ManagementAbstract
The rapid adoption of cloud computing technologies has transformed enterprise IT infrastructures, enabling scalable, flexible, and cost-efficient business operations. However, the migration of enterprise systems to cloud environments has also introduced significant cybersecurity risks and regulatory compliance challenges. Organizations must protect sensitive data, maintain system integrity, and ensure compliance with evolving regulatory standards while managing complex cloud infrastructures. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing cybersecurity capabilities and automating compliance management in cloud-based enterprise systems.
This research proposes an AI-powered cybersecurity and compliance automation framework designed to secure cloud-based enterprise environments and streamline regulatory compliance processes. The framework integrates machine learning algorithms, automated monitoring systems, threat intelligence analytics, and policy-driven compliance mechanisms to detect security threats, predict potential vulnerabilities, and enforce compliance requirements. By leveraging AI-driven anomaly detection and automated policy enforcement, the framework enables real-time identification of cyber threats and ensures continuous compliance with security standards.
The research methodology involves architectural modeling, comparative analysis of existing cybersecurity frameworks, and simulation-based evaluation to assess system performance, threat detection accuracy, and compliance monitoring efficiency. The findings demonstrate that AI-powered cybersecurity frameworks can significantly enhance enterprise security posture, reduce operational risks, and automate complex compliance processes, enabling organizations to maintain secure and resilient cloud-based enterprise systems.
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