Tool Overview:
Global IDs

About globalids

Global IDs is a data management platform focused on helping enterprises discover, catalog, and protect sensitive data across their ecosystems. The platform provides automated data discovery and profiling capabilities to help organizations understand their data landscape, particularly in complex environments with multiple databases and data sources.

What does globalids do?

The platform's core functionality centers around automated data discovery, profiling, and lineage tracking. It scans both on-premises and cloud databases to build a centralized metadata repository that serves as a single source of truth. The system employs machine learning algorithms to analyze and classify data, moving beyond traditional pattern-matching approaches to identify sensitive information. The platform tracks data flows and transformations across systems, creating comprehensive audit trails for compliance purposes.

A distinguishing aspect is the platform's approach to sensitive data identification. Rather than relying solely on predefined rules and regex patterns, globalids uses AI-based fingerprinting technology to detect sensitive data based on contextual characteristics. This enables the identification of complex data types that may not fit traditional categorization methods.

What makes globalids different?

The platform stands out through its emphasis on automation and scale. It is designed to handle enterprise environments with hundreds of thousands of database columns across different vendors and versions. The system consolidates metadata from various sources into a standardized format, allowing organizations to understand their data assets regardless of the underlying technology stack. The platform includes visualization capabilities that display data lineage and highlight potential risks in the data ecosystem.

Use cases and industries

The platform primarily serves large enterprises dealing with regulatory compliance requirements like GDPR, HIPAA, PCI-DSS, and SOC2. Key use cases include data governance, regulatory compliance, data privacy protection, and risk management. The system helps organizations track sensitive data movement, enforce data quality standards, and maintain audit trails for compliance purposes.

The platform supports both technical and business users. Technical teams use it for data discovery and profiling, while business stakeholders leverage its visualization capabilities for impact analysis and decision-making. The system includes collaboration features to help data stakeholders share knowledge and establish consistent data governance practices across the organization.