As Vector Database Management Systems (VDBMS) become essential infrastructure for LLM applications, systematic testing approaches are urgently needed to ensure reliability and security.

• Emerging Criticality: VDBMS systems enable key LLM capabilities including retrieval-augmented generation and long-term memory
• Security Gap: Rapid adoption has outpaced reliability testing methodologies, creating significant security risks
• Future Framework: Proposes comprehensive testing approaches to strengthen VDBMS systems through 2030
• Business Impact: Reliable VDBMS infrastructure is essential for secure AI applications and data management

This research provides a crucial roadmap for organizations deploying vector databases as they balance rapid AI innovation with necessary security controls.

Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030