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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

Metadata Lake

Importance for the Entire Company

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..)

Push down tags

To increase effectiveness of DLP and enforcement systems.

Copilot interface

To enable productive use of metadata, regardless of the data size or complexity.

SEE THE DIFFERENCE WITH BEDROCK

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