This whitepaper provides an overview of Bedrock Data’s platform and its approach to solving data sprawl and visibility challenges in cloud and AI environments. It highlights the role of the metadata lake in capturing real-time context—data location, sensitivity, access, and usage—to enable unified security and governance, as described on page 2. The paper contrasts this with legacy DSPM limitations and outlines capabilities such as continuous lineage tracking, automated policy enforcement, and real-time risk prioritization. Overall, it positions Bedrock as a scalable, AI-driven solution for achieving continuous visibility, compliance, and operational efficiency across enterprise data ecosystems.

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