Manage Data Vulnerabilities & Exposure Risks

 Preventing breaches and ensuring compliance starts with proactive data vulnerability management. Bedrock maps cloud misconfigurations, prioritizes risks based on data impact, and eliminates excessive access, helping organizations secure sensitive information and minimize exposure—before threats emerge.
82
%

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

53
%

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

88
%

% of security professionals rate metadata lakes as “critical” or “very valuable” to solving data visibility issues

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Reduce the Likelihood of Breaches and Limit Data Exposure Risks​​​

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Detect & Prioritize Vulnerabilities: Data-Centric Risk Management

Traditional tools rely on CVE scores alone, often overlooking the real impact of vulnerabilities on sensitive data. Bedrock analyzes data sensitivity and exposure, ensuring security teams address the highest-risk threats first. By correlating vulnerability scanner findings with data context, Bedrock automates risk prioritization, so you can focus on what truly matters—protecting critical information.
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  • Data-Aware Vulnerability Prioritization: Prioritize vulnerabilities by data sensitivity and real-world impact

  • Automated Risk Sorting: Correlate vulnerabilities with data context to prioritize critical threats

Identify Common Cloud Data Risks: Misconfigurations & Exposure Detection

Bedrock automates cloud misconfiguration detection, uncovering unprotected sensitive data, weak encryption, and risky access policies across environments. Risk-based prioritization helps you focus on the most critical misconfigurations first, ranking issues by data volume and sensitivity. With Bedrock, you can eliminate blind spots and reduce exposure before threats emerge.
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  • Cloud Misconfiguration Detection: Detect unprotected data, misconfigurations, and weak encryption in the cloud

  • Risk-Based Prioritization: Prioritize misconfigurations by data sensitivity and risk impact

Understand Impact: Graph-Based Exposure Analysis

Bedrock maps data exposure in real time, providing a heatmap of potential compromise impact across users, services, and sensitive data. Dynamic risk scoring assigns impact levels to roles and identities, helping security teams focus on the most critical threats first for faster, more effective remediation.
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  • Blast Radius Visualization: Visualize the impact of potential compromises on data, users, and services

  • Dynamic Risk Scoring: Score risks by access level to prioritize critical threat remediation

Minimize Attack Surface: Reduce Stale & Overexposed Data

Bedrock identifies stale, redundant, and overexposed sensitive data, minimizing risk without disrupting operations. Entitlement chain analysis maps full identity access paths, ensuring permissions are right-sized to enforce least privilege access and strengthen security.
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  • Eliminate Unused Sensitive Data: Remove stale, redundant data to reduce risk without disruption

  • Entitlement Chain Analysis: Map identity access chains to eliminate excessive permissions
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Why Bedrock for Data Vulnerability & Exposure Management?

 

Data-Driven Risk Prioritization: Our platform goes beyond CVE scores to correlate vulnerabilities with real data impact, ensuring security teams focus on the highest risks.

Proactive Misconfiguration Detection: Bedrock identifies cloud misconfigurations and excessive access, reducing the likelihood of breaches.

Automated Exposure Analysis: We enable data exposure visualization that helps security teams understand and mitigate blast radius risks.

Simplified Attack Surface Reduction: Bedrock automates detection and streamlines remediation of stale data and overprovisioned access, minimizing breach opportunities.
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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 vulnerability & exposure management

See the Difference with Bedrock
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