Metadata Lake
The Foundation for Secure, AI-Ready Data Management
Gain complete visibility, governance, and security across your enterprise data landscape with Bedrock Data's industry-first Metadata Lake. A metadata lake enables continuous visibility across enterprise metadata by automatically cataloging all the data that exists, where it resides, who can access it, its level of sensitivity plus more than fifty other parameters. Think of it as the missing link between data producers (developers, apps) and data consumers (security tools, analytics, AI systems).
Benefits Your Peers See with a Metadata Lake
85
Percent current, accurate data inventory across all systems and data sets
78
Percent better data awareness for security tools
75
Percent enhanced security tool power through data sensitivity awareness
59
Percent data usage information for non-security needs (cost management, deduplication)
Source: 2025 Enterprise Data Security Confidence Index
Importance for the Entire Company
Security | GRC | Data | |
---|---|---|---|
Benefits | Risk-based prioritization Complete entitlement analysis for least privilege Single platform for IAAS, SAAS, and PAAS datastores | Continuous compliance monitoring Audit-ready reporting AI-powered policy validation without manual oversight or false positive corrections needed | End-to-end data lineage Stale & redundant data cleanup Copilot for data insight optimization |
Copilot Example | What sensitive data do adversaries have accessed or what data is at risk for access? | What lines of business will fail data controls for a compliance or internal audit? | What lines of business will fail data controls for a compliance or internal audit? |
Benefits
Security
Risk-based prioritization Complete entitlement analysis for least privilege Single platform for IAAS, SAAS, and PAAS datastores
GRC
Continuous compliance monitoring Audit-ready reporting AI-powered policy validation without manual oversight or false positive corrections needed
Data
End-to-end data lineage Stale & redundant data cleanup Copilot for data insight optimization
Copilot Example
Security
What sensitive data do adversaries have accessed or what data is at risk for access?
GRC
What lines of business will fail data controls for a compliance or internal audit?
Data
What lines of business will fail data controls for a compliance or internal audit?
Metadata information
Data assets, categorization, sensitivity, business context, access entitlements, usage, associated services, vulnerabilities, data jurisdiction, and other information.
Metadata collection
Ingestion of metadata of data collected from IAAS, PAAS, SAAS, and Identity systems of structured, semi-structured and unstructured data.
API-first
Integration with existing systems for workflow and ingestion, as well as, ability to share metadata with other systems for prioritization (eg. CNAPP, SIEM, etc..)
Copilot interface
To enable productive use of metadata, regardless of the data size or complexity.