Track Your Data Lineage

 Tracking data lineage is essential for safeguarding IP, enforcing security policies, and detecting unauthorized copies or derivatives. With Bedrock’s no-gap visibility, organizations can prevent data misuse, mitigate risks, and streamline compliance—ensuring critical assets remain secure and under control.
53
%

% of organizations plan to improve security tools with better data awareness

82
%

% of cybersecurity professionals report gaps in finding and classifying data

53
%

% of security teams lack up-to-date visibility

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Gain Complete Visibility & Control Over Your Data Lineage

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Track & Fingerprint Critical Data: AI-powered Lineage Mapping

Bedrock’s fingerprinting technology maps data lineage across SaaS, PaaS, and IaaS—even when modified or fragmented. Unlike rigid RegEx methods, Bedrock automatically detects business-critical data like W2s, NDAs, and genetic sequences, ensuring complete security and compliance.
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  • AI-Powered Data Tracking: Accurate and timely data lineage tracking across SaaS, PaaS, and IaaS

  • Beyond Basic Classification: Detect and track complex, business-critical data missed by RegEx

Discover Business Topics with AI: Context-aware classification

Classify data by meaning, not just keywords, with Bedrock. Our LLM-powered classification delivers no-gaps visibility into high-value and sensitive data. Reduce false positives and streamline risk-based remediation with unmatched accuracy.
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  • Deep Contextual Understanding: Classify data by meaning, not just keywords

  • Precision Risk Assessment: Achieve no-gaps data visibility, reduce false positives, and streamline remediation
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Why Bedrock for Tracking Data Lineage?

 

End-to-End Data Traceability: Our platform tracks data origins, transformations, and movements to ensure governance and protect IP.

Patented AI-Driven Classification: Bedrock leverages business context with AI-powered classification that goes beyond basic file labeling.

Effortless Compliance: We automate lineage tracking for GDPR, CPRA, and AI regulations to prevent exposure of your sensitive data.

Cross-Cloud Visibility: Bedrock powers full lineage tracking across hybrid, multi-cloud, and SaaS environments, eliminating blind spots.
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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 lineage.

See the Difference with Bedrock
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