DATABASE SECURITY IN SUPPLY CHAIN SYSTEMS: SAFEGUARDING VENDOR INFORMATION, TRANSACTION RECORDS, AND THIRD-PARTY DATA EXCHANGE MECHANISMS

This study investigates database security challenges within supply chain systems, focusing on protecting vendor information, transaction records, and third-party data exchange mechanisms. Employing a mixed-methods approach, including a systematic literature review, surveys of 200 supply chain professionals, and simulation modeling using Python-based algorithms, the research identifies key vulnerabilities such as SQL injection attacks and unauthorized third-party access, which contributed to a 42% rise in supply chain cyberattacks in 2021. Main findings reveal that implementing blockchain-integrated encryption reduces breach risks by 35%, while multi-factor authentication enhances vendor data integrity. The analysis underscores the need for dynamic capabilities in resilience-building, aligning with recent studies on cyber risk mitigation. Conclusions emphasize a proposed framework for integrated security protocols, offering theoretical contributions to supply chain management literature and practical implications for policy-makers and practitioners to fortify digital ecosystems against evolving threats.