Abstract: Cloud computing environments host sensitive data and critical systems of organizations of any size and sector. Their security is vital and yet very hard to achieve since the technology is still at an early stage and continuously evolving. Organizations have only limited control over the environment they use, putting them at the mercy of malicious actors. AI can reinforce security in many ways and applied in a focused manner, it can help detect and respond to threats more effectively at a broader level. The integration of AI helps organizations to assess data protection risk, comply with data protection laws, and reduce the cost of compliance.
AI-driven threat detection and response combines AI model training, validation, and testing with containerization-based operation and monitoring to automatically contain and remediate threats in near-real time of automated workflow systems. Decision support systems rule-based or machine learning-enhanced for vulnerable domains and escalation procedures establish human-in-the-loop conditions that balance business requirements and risk appetite with operational overhead. The AI-enhanced approach complements, but will not entirely replace, traditional human-operated SOC playbooks. Decision support systems with a focus on managing uncertainty can aid human operators by suggesting which playbooks to execute next and what data to request from detection systems like threat intelligence feeds, sandboxing solution employable on-demand, or dedicated malware analysis clusters.

Keywords: Cloud Security Management, AI-Driven Threat Detection, Automated Threat Response, AI-Enhanced Security Operations Centers (SOC), Cloud Computing Risk Management, Data Protection and Compliance, AI-Based Security Analytics, Containerized Security Operations, Near-Real-Time Incident Remediation, Security Workflow Automation, Human-in-the-Loop Security Systems, Decision Support for Cybersecurity, Uncertainty Management in Security Operations, Rule-Based and Machine Learning Security Models, Threat Intelligence Integration, Automated Playbook Execution, Malware Analysis and Sandboxing, Secure Cloud Architectures, AI-Assisted Compliance Management, Resilient Cloud Security Systems.

Downloads: | DOI: 10.17148/IJIREEICE.2024.121214