Automated Labeling & Native Enforcement
Automatically apply consistent and accurate data labels directly in the systems where data lives.
Use Case Summary
Accurate labeling is the foundation for effective data protection and DLP. Bedrock translates its deep data understanding into native platform labels — applying Microsoft Purview tags, Snowflake column tags, or AWS S3 object tags automatically. This ensures that security policies are consistently enforced at the source, reducing manual effort and closing gaps between classification and enforcement.
Key Capabilities
Universal Labeling
Push Bedrock classifications as native labels to cloud, SaaS, and database platforms.
Policy Synchronization
Maintain a single classification policy across all environments with real-time updates.
Dynamic Controls
Enable automated enforcement such as encryption, data masking, or blocking based on label type.
Value to Stakeholders
CISO
Achieve end-to-end enforcement by aligning labels with security controls.
GRC
Demonstrate automated policy adherence across multiple platforms.
Data Governance Lead
Ensure consistent labeling that drives compliance, DLP, and access control.