Ubiquitous Data Security & Management
One platform to discover, protect, and govern all your data

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Supporting you through your Data Journey
Select an option below:
- SECURITY
- GOVERNANCE
- DATA MANAGEMENT

TECHNOLOGY
Bedrock discovers and classifies enterprise data across cloud infrastructures like AWS, platforms such as Snowflake, and SaaS environments like Google Workspace—all without data leaving your environment.
Know your data
Build a comprehensive inventory capturing data assets, ownership, and lifecycle details.
Audit data against policy
Evaluate your storage, access (human and non-human) usage, and lifecycle practices against defined policies and regulatory frameworks.
Enforce governance controls
Automate remediation to deprecate non-compliant data and enforce least privilege using entitlement, usage, and lifecycle signals -- assign fixes to data owners.
Know your data
Build an accurate, cross-platform inventory of your data—what it is, where it resides, and its business context.
Assess your risk
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.
Know your data
Catalog all data assets with key contextual details such as source and usage.
Track data movement
Monitor how data flows between systems and who accesses it to identify duplication and inefficiencies.
Control data allocation
Adjust storage and access rights based on actual usage to reduce costs and complexity.

Generative Al poses a unique data challenge because once data goes into a model, it's challenging to control the output.
Andrew Kuhn, Product Security Engineer, House Rx

Generative AI poses a unique data challenge because once data goes into a model, it’s challenging to control the output. Enterprises need assurances that GenAI models are compliant and secure, and that they will not divulge sensitive information. Bedrock’s ability to automatically learn what data is most material to the business and put boundaries between sensitive data and GenAI models is a game-changer. This capability reduces friction and enables us to safely and responsibly bring GenAI to customers faster.
Suha Can, CISO at Grammarly

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.
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