Contextualize Your Data

Security teams need rapid, prioritized insights to stay ahead of threats. Bedrock’s AI-powered Data Lake enriches security tools with deep contextual metadata, sharpening risk prioritization, automating policy enforcement, and optimizing operations at scale. The result? Faster detection, smarter response, and seamless compliance—without the noise.
64
%

% of enterprises aim to strengthen policy enforcement across cloud environments

66
%

% of organizations lack people and processes for proper data analysis

62
%

% of businesses struggle with different data types

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Elevate and Enrich Your Data with Bedrock’s Contextual Insights

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Prioritize Your Cloud Security Risks: CNAPP & CSPM Optimization

Bedrock enhances CNAPP and CSPM tools by integrating data sensitivity, entitlement insights, and real-world exposure impacts, ensuring teams prioritize high-risk misconfigurations. With ongoing metadata updates in our Metadata Lake, Bedrock automates policy-based remediation, eliminating manual effort, driving faster risk reduction, stronger security, and smarter cloud protection.
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  • Risk-Based Misconfiguration Prioritization: Prioritize and remediate high-risk cloud misconfigurations

  • Ongoing Risk Reduction: Automate risk remediation with timely metadata updates

Enhance Threat Intelligence: Smarter SIEM Alerting

Bedrock enhances SIEMs with data sensitivity and access metadata, reducing false positives and sharpening threat detection. By enriching event monitoring with structured metadata, it cuts log storage costs, ensuring SIEMs process only relevant insights for faster, more efficient security.
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  • AI-Driven Context Injection: Reduce SIEM false positives and detect real threats

  • Cost-Efficient Event Monitoring: Optimize SIEM efficiency and cut log costs

Automate & Strengthen Data Loss Prevention: Seamless DLP Integration

Bedrock automates data discovery and classification before it enters DLP workflows, eliminating human error and static rule limitations. Rapid classification seamlessly integrates with DLP solutions, ensuring consistent policy enforcement across endpoints, cloud, and SaaS. With Bedrock, sensitive data stays accurately identified, protected, and compliant—everywhere.
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  • Dynamic Data Classification: Automated sensitive data discovery and classification for seamless protection

  • Seamless Policy Enforcement: Ensure consistent DLP enforcement across endpoints, cloud, and SaaS
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Why Bedrock for Data Contextualization?

 

Maximize ROI: Bedrock enhances CNAPP/CSPM, SIEM, and DLP performance with smarter data insights and stronger security.

No manual oversight: Eliminate manual tuning with AI-driven automation from Bedrock for accurate, error-free security.

No data protection gaps: Ensure reliable, gap-free data protection with Bedrock’s intelligent, metadata-driven security.

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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 contextualization.

See the Difference with Bedrock
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