Privado Privacy Scan is a code-based data discovery and classification tool that scans source code repositories to detect and categorize personal and sensitive data processed by an application. The tool runs proactive privacy scans on code repositories, generating real-time data flow diagrams and data usage dashboards that show how data is collected, used, and shared. It identifies privacy risks at the code level without requiring manual review of individual lines of code. Key capabilities include: - Data Flow Visibility: Visualizes data collection, usage, and sharing across an application, and supports automated tagging of data elements to contextualize privacy policy compliance. - Sensitive Data Protection: Automatically classifies and links sensitive data for disclosure reporting, allows definition of data governance policies, and generates alerts when sensitive data processing violates those policies. - Data Leak Detection: Provides real-time, granular insight into code changes to serve as an early warning system for data leaks. It can preemptively map where data will flow when an application runs and supports detection rules for sensitive data flows to third parties, databases, logs, and APIs. - Privacy-by-Design in Development: Flags privacy risks and updates Privacy Impact Assessments (PIAs) based on code scanner findings, supports policy-as-code for automated violation detection, and integrates with developer workflows to operationalize remediation. - Data Mapping: Enables creation of data maps, targeting completion in under 30 minutes. The tool is aimed at both privacy teams and engineering teams, enabling a shift-left approach to privacy risk management.