In Oracle, a comprehensive and widely used database management system, the handling of Personal Identifiable Information (PII) is treated with high priority, reflecting its critical importance in data security and regulatory compliance. Oracle provides advanced security features to protect PII, including encryption at rest and in transit, fine-grained access control, data redaction, and comprehensive auditing capabilities. These features enable organizations to securely store, process, and manage PII, ensuring that access is strictly controlled and monitored. Furthermore, Oracle's robust compliance tools assist organizations in adhering to various data protection regulations, such as GDPR and HIPAA. By utilizing these security and privacy features, organizations can leverage Oracle's powerful database capabilities while maintaining the confidentiality and integrity of PII, thus upholding trust and compliance standards.

Secoda's integration with Oracle allows data teams to streamline their workflows and enhance data governance. By leveraging custom workflows, users can easily tag personally identifiable information (PII) residing in Oracle databases. This feature saves time, reduces manual errors, and minimizes repetitive tasks. Automation in Secoda consists of triggers and actions. Triggers enable users to schedule workflow activations, providing a structured framework for subsequent actions. Actions encompass various operations, such as filtering and updating metadata, which can be stacked to create detailed workflows tailored to specific team requirements. Additionally, Secoda empowers users to perform bulk updates to metadata in Oracle, further enhancing data management capabilities.

Secoda, an AI data governance platform, offers a comprehensive integration with Oracle, enabling data teams to effectively manage and govern their data. With Secoda's all-in-one data search, catalog, lineage, monitoring, and governance capabilities, users can easily find and utilize their data within the Oracle ecosystem. This integration streamlines the data management process, providing a simplified and efficient solution for data teams.