Data Discovery, Classification & Labeling
Continuously discover, classify, and label data across all your environments for complete visibility and governance.
Use Case Summary
Effective data governance begins with knowing what data you have. Bedrock builds a unified, always-current inventory of data across cloud, SaaS, and on-prem systems. Its serverless architecture autonomously discovers data, while AI-powered classification understands business context to apply accurate sensitivity labels — without moving or copying data. This creates a foundational Metadata Lake that serves as the single source of truth for managing risk and enabling proactive data security and governance.
Key Capabilities
Autonomous Discovery
Automatically map data assets across cloud (e.g., AWS, GCP, Azure), PaaS (e.g., Snowflake, Databricks), and on-prem systems (e.g., NAS, databases)
Accurate Classification
Use AI to classify structured and unstructured data with high accuracy by understanding its semantic context.
Metadata Lake Foundation
Build a central, always-current catalog of sensitive data for governance, security, and compliance programs.
Value to Stakeholders
GRC
Establish defensible, automated governance with traceable classification history.
CISO
Reduce data exposure and enforce security policies based on accurate visibility.
CTO
Eliminate manual data mapping and enable secure analytics and AI development.
Data Governance Lead
Maintain a continuously updated system of record for sensitive data.