August 1, 2025Open Access

Integrating Artificial Intelligence into Cloud Security: A Layered Framework for Threat Detection, Compliance, and Automation Across the SDLC

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MAIN FINDING: Integrating artificial intelligence improves cloud security and enhances threat detection.
KEY EVIDENCE: The framework enables more effective anomaly detection within the software development lifecycle.
APPROACH: This work examines tools for security automation focusing on AI-driven anomaly detection models.
SIGNIFICANCE: Implementing AI in cloud security can significantly reduce attack surfaces and enhance compliance.

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This framework enhances threat detection and compliance in the software development lifecycle, suggesting AI's role in cloud security.

R. Karthick (2025) studied this question.

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