Datasheet
THE AI-NATIVE DSPM
Prevent data leakage and misuse as your data accelerates across cloud and on-premise. Bedrock Data autonomously classifies petabytes in hours to drive native policy enforcement. Bedrock Data provides the visibility and control needed to secure your data and govern your AI with an architecture that ensures scanning stays entirely within your perimeter.
Runs 100x faster and at 25x lower infrastructure cost than any other solution.
Autonomous discovery at petabyte scale.
Powered by Adaptive Sampling, Bedrock Data’s serverless Outpost scans SaaS, IaaS, and on-premise environments in hours, not weeks. The platform identifies sensitive data and its business context with high precision to build a central graph knowledge base called the Metadata Lake. The Zero Data Access architecture ensures that the Metadata Lake is built using metadata only, so your data never leaves your perimeter.
Native enforcement to prevent leaks.
Don’t just find risks, fix them. Bedrock Data syncs granular sensitivity tags and labels directly to data stores and security tools, including Microsoft Purview, Snowflake, and AWS. Least privilege access is enforced and data leakage is stopped at the source by automating policy controls natively where your data lives.
Data-aware AI governance with ArgusAI.
Confidently deploy assistants, RAG systems, and autonomous agents. ArgusAI connects the Metadata Lake to AI applications to trace data flow and user interaction. Model consumption of sensitive datasets is audited, preventing AI assistants from surfacing restricted content to users with broad entitlements.
Use Cases
Start with security and scale from there
By providing unmatched visibility into your data, Bedrock Data supports your needs throughout the data lifecycle.
Know your data
Build an accurate, cross-platform inventory of your data—what it is, where it resides, and its business context.
Assess your data
Evaluate your data posture by identifying control gaps and measuring overall data exposure across channels.
Reduce your risk
Implement targeted remediation that automatically assigns fixes to the responsible business units, closing posture gaps and reducing your exposure.
“I believe that effective security requires looking at the full lifecycle of how customer data is handled. This means getting accurate visibility, enabling data perimeters, and proactively reducing data risk. Bedrock’s innovation excites me and aligns with how I think about protecting data and managing risk effectively.”
Mukund Sarma
Sr. Director Product Security, Fastest Growing US Fintech Co.
