The Foundation for Data Security

Bedrock has two key components: a Bedrock Outpost Analyzer deploys via infrastructure as code on a customer’s environment and the Bedrock SaaS Platform that ingests metadata to process via Bedrock’s AIR Engine and provides Bedrock’s user interface.


Serverless Discovery

Bedrock’s Outpost Analyzer uses your infrastructure’s existing APIs to discover datasets – structured or unstructured – across datastores, accounts, and infrastructure providers.

Simply point Bedrock to your accounts and the system takes care of the rest - at scale, without agents, and ensures your data remains in your environment.




Use Case Roles

Bedrock reduces friction by ensuring different groups can work together to seamlessly protect your data.  Security teams can benefit from DDR alerts and least privilege capability - with SIEM/SOAR integrated routing for SOC and threat hunting teams.





Bedrock provides remediations for all discovered issues with a menu of relevant options to contain and mitigate risk. Using API integrations, Bedrock can apply many of these remediations with one click, or can automatically create a ticket in a user defined workflow tool with detailed instructions.

AIR Engine

The AI Reasoning Engine (AIR) is the heart of being able to understand what data means and its material value to the business. AIR processes metadata from a customer’s environment to discover data, categorize and classify it, assess against a multi-dimensional set of criteria to alert on security or compliance issues, and determine prioritization for remediation based on context of data and risk factors.




Risk & Compliance Monitoring

Bedrock detects hundreds of violations of recommended best practices, including misconfigurations, postural violations, and overly broad permissions, as well as violations of the controls of common compliance frameworks.

Bedrock's Trust Boundary is a patented, adaptive policy technology that allows you to quickly highlight what data is important and the system takes care of the rest. The policy engine enables custom policies, drawing upon Bedrock’s dynamic data categorization and classification. For GenAI, Trust Boundaries can be created to protect source and derivative works from sensitive information, core IP, or copyrighted materials.

These policies, which can be created and understood by nontechnical users, allow Bedrock customers to create Trust Boundaries, such as defining areas where sensitive data should never go or limiting access to data to certain users or roles exclusively.


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