Cloud forensics investigation frameworks provide structured methodologies for conducting digital investigations in cloud environments, ensuring systematic, repeatable, and legally admissible processes. Research in this area focuses on designing comprehensive frameworks that integrate evidence identification, acquisition, preservation, analysis, and presentation across distributed, virtualized, and multi-tenant cloud infrastructures. Key topics include automated and intelligent investigation workflows, cross-platform evidence correlation, and integration of cloud forensic readiness and proactive monitoring mechanisms. Other significant areas involve AI- and ML-assisted anomaly detection, blockchain-based provenance and integrity verification, and privacy-preserving forensic procedures. Emerging research directions explore standardized investigation frameworks for hybrid and multi-cloud environments, real-time forensic analysis, incident response integration, and compliance with international legal and regulatory requirements. Additionally, developing scalable, interoperable, and reproducible frameworks that address dynamic cloud infrastructures, encrypted data, and large-scale evidence management remains a critical challenge in advancing cloud forensic investigations.