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.
Elevate and Enrich Your Data with Bedrock’s Contextual Insights
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.
Risk-Based Misconfig Prioritization
Prioritize & 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.
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.
Dynamic Data Classification
Automated data discovery and classification for seamless protection.
Seamless Policy Enforcement
Ensure DLP enforcement across endpoints, cloud, and SaaS.
Why Bedrock for Data Contextualization?
Maximize Return on Investment
Bedrock enhances CNAPP/CSPM, SIEM performance with data insights and security.
No Manual Oversight
Eliminate manual tuning with AI-driven automation for accurate, error-free security.
No Data Protection Gaps
Ensure, gap-free data protection with Bedrock’s, metadata-driven security.
Being able to look at a certain user and follow along on a map to see what that user can access, how they can access it, and where they can access it from in Bedrock’s platform was phenomenal, especially as somebody who was sitting here trying to do it manually.
Andrew Kuhn, Product Security Engineer at HouseRX
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, VP and CISO at DoorDash
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.
Dive Deeper
Learn more about how Bedrock is transforming enterprise data management and security.
