As more organizations move their critical databases to the cloud to take advantage of scalability and cost savings, the importance of security measures cannot be overstated. Security breaches can have severe consequences, including financial losses, damage to reputation, legal challenges, and identity theft, making strong cybersecurity an absolute necessity. This paper introduces a dedicated security automation platform specifically designed for database security, a unique approach that addresses the lack of specialized solutions in this domain. Unlike traditional security tools that provide generic assessments, this platform automates the collection, analysis, and centralization of database security data, offering a comprehensive view of potential vulnerabilities. Focusing on Amazon Web Services (AWS) as the cloud provider, the proposed framework integrates automated security assessments, vulnerability scans, and centralized risk reporting to enhance database defenses against evolving threats. The implementation begins with setting up Amazon Relational Database Service (RDS) and Elastic Compute Cloud (EC2) instances, followed by configuring the Oracle client for seamless communication. A key component is the automated execution of Oracle's Database Security Assessment Tool (DBSAT), which systematically scans databases for vulnerabilities and compliance issues. The collected security data is stored in a centralized repository, enabling historical analysis, risk profiling, and informed decision-making for continuous security enhancement. Beyond assessment, this research also explores automated mitigation strategies ensuring a proactive approach to database security rather than just reactive fixes. By streamlining security data collection and risk assessment, this work bridges a critical gap in database security automation, setting the foundation for intelligent, self-improving security mechanisms in cloud-based database environments.