Vault Security Framework Optimization for Improved Throughput and Security

Pradeep Kumar

doi:10.5281/zenodo.15026485

Vault Security Framework Optimization for Improved Throughput and Security

Author(s)	Pradeep Kumar
Country	United States
Abstract	Enterprise applications increasingly rely on secure vault frameworks to manage sensitive configuration data, such as secrets, credentials, and encryption keys. However, these frameworks often introduce performance challenges due to complex security mechanisms, including encryption, role-based access control (RBAC), and frequent secret lookups. These challenges result in higher API response times, increased CPU utilization, and delayed security event detection. This research focuses on optimizing secure vault frameworks to enhance both throughput and security in large-scale enterprise systems. The study identifies key performance bottlenecks, including redundant API calls, inefficient reflection-based field lookups, and nested object handling. Optimization strategies, such as multi-level caching (local and distributed caches), asynchronous API handling, and improved query flow, are implemented to mitigate these issues. The security posture is simultaneously strengthened by enhancing RBAC enforcement, encrypting data in transit and at rest, and introducing real-time audit logging for sensitive data access. Performance improvements are validated through extensive load testing, measuring reductions in response times and CPU load, alongside enhanced security metrics, such as faster detection of access violations. This research provides a scalable and secure framework for cloud-based enterprise applications, contributing to both the performance engineering and cloud security domains. Future work will explore integration with artificial intelligence (AI) for anomaly detection and further optimization under zero-trust architectures.
Keywords	Secure Vault Frameworks, Cloud Security Optimization, Performance Engineering, Enterprise Scalability, Role-Based Access Control (RBAC)
Field	Engineering
Published In	Volume 4, Issue 4, April 2023
Published On	2023-04-05
Cite This	Vault Security Framework Optimization for Improved Throughput and Security - Pradeep Kumar - IJLRP Volume 4, Issue 4, April 2023. DOI 10.5281/zenodo.15026485
DOI	https://doi.org/10.5281/zenodo.15026485
Short DOI	https://doi.org/g88f5m

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Vault Security Framework Optimization for Improved Throughput and Security

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