Discover, Classify, & Manage Your Data

 

Complete data visibility and accurate data categorization is the bedrock of all security, governance, and data management programs.  And now organizations must protect an ever-expanding volume of data against increasingly sophisticated threats, all while managing complex AI initiatives. 

Effective data security starts with knowing what data you have, classifying it accurately, and managing it across the organization. Bedrock automates data discovery, classification, and lifecycle management to ensure security, compliance, and operational efficiency across your entire data ecosystem.
82
%

% of cybersecurity professionals report gaps in finding and classifying organizational data

78
%

% of security teams lack up-to-date data visibility

76
%

% of organizations can't quickly create a full data asset inventory for compliance or security incidents

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Gain Complete Visibility & Control Over Your Data

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Discover Your Data: AI-Powered Visibility

Unidentified data creates critical blind spots in security, compliance, and operations. Through the Bedrock Metadata Lake, we automate data discovery across SaaS, PaaS, and IaaS environments, ensuring your organization maintains an accurate, single-source inventory of sensitive assets at all times.
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  • Comprehensive Data Inventory: Automatically capture and store essential data metadata securely

  • Multi-datastore Coverage: Unify data discovery across SaaS, PaaS, and IaaS into one source of truth

  • Rapid Data Asset Tracking: Track data changes for accurate visibility

  • Exposure Risk Identification: Detect and mitigate shadow IT risks before they escalate

Classify Your Data: AI-Driven Context & Precision

Accurate classification is crucial to enforcing security policies and fulfilling compliance mandates. Bedrock goes beyond traditional RegEx-based methods by dynamically tagging data based on business context, access patterns, and sensitivity levels, ensuring a more precise and responsive data management strategy.
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  • Automated Classification & Tagging: Automatically label and refine data categories for accuracy and relevance

  • Context-aware Security Analysis: Prioritize security by identifying risks and policy violations

  • Adaptive Classification Learning: Adapt and refine classifications based on user interactions / compliance changes

  • Fine-grained Data Segmentation: Customize data models to manage and protect sensitive information effectively

Manage Your Data: Secure, Govern & Optimize

With data evolving all the time, organizations need robust systems to  govern entitlements, enforce policies, and manage retention. Bedrock ensures data is accessed securely, stored efficiently, and governed in compliance with regulatory frameworks.
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  • Automated Governance & Compliance Alignment: Track data to ensure compliance and integrity

  • Data Lifecycle Optimization: Detect redundant data to save costs, reduce risk, and allocate resources smarter

  • Intelligent Access Control Enforcement: Automatically manage permissions for secure, least-privilege access

  • Retention Policy Automation: Align retention policies with mandates to minimize legal and cost risks
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Why Bedrock for Data Discovery & Classification?

 

Unmatched Accuracy: Bedrock's AI-driven classification dynamically categorizes data with precision, reducing reliance on fragile RegEx rules and ensuring data is accurately managed.

Powerful Discovery: Our platform identifies and classifies sensitive data across SaaS, PaaS, and IaaS, ensuring full visibility and up-to-the-minute data security.

Automated Context Enrichment: Bedrock enriches data with 50+ metadata attributes, such as sensitivity and lineage, enabling precise security and compliance decisions.

Seamless Integration: Bedrock integrates with existing DLP, SIEM, CNAPP, and compliance tools, enhancing enforcement accuracy and prioritization of security operations across your IT environment.
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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

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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

 

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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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Dive Deeper

Learn more about how Bedrock is transforming data discovery and classification.

See the Difference with Bedrock
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