Cloud-native data security posture management (DSPM)

Defend sensitive data wherever it lives

Data security findings

Uncover, prioritize, and protect the data that matters most

Problem

Solution

Visibility gaps for data residency and exposure weaken security for sensitive data

Reveal risks and exposure to personal health information (PHI), personally identifiable information (PII), and financial data

Lack of sensitive data context makes it difficult to prioritize vulnerabilities for assets containing PHI, PII, and financial information

AI-powered context helps security teams understand when sensitive data is at risk and prioritize remediation

Slow response to incidents involving PHI, PII, and financial data leaves organizations at risk

Attack-path visualizations contextualize critical alerts and help security teams understand blast radius for faster, more targeted response

Reveal data exposure, focus remediation, and contextualize threats

Sysdig Inventory interface showing two AWS S3 buckets with data findings including financial, health, and personal data classification.

Data discovery and classification

Identify and classify sensitive data like PII, PHI, and financial data.

Sysdig Attack Path visualization showing exposed status connected through internet gateway, network ACL, route table, subnet, EC2 instance, IAM role to multiple S3 buckets and identified AI packages and identity risks.

Data exposure risk assessment

Reveal overexposed data, map risk paths, and prioritize remediation to reduce the likelihood of breaches.

Sysdig software interface showing inventory of AWS S3 buckets filtered by sensitive data with details on public exposure risk and contributing resources for bucket dspm-demo-bf88.

Incident response acceleration

Using enhanced context, identify if an affected resource contains sensitive data to immediately understand blast radius and prioritize response.

Sysdig Vulnerability Findings dashboard showing a filtered list of high severity exploitable vulnerabilities with details including CVE ID, resource, resource context, component, component name/path, and severity.

Vulnerability and misconfiguration management

Using enhanced context, identify if an affected resource contains sensitive data to immediately understand blast radius and prioritize response.

Unified data security across clouds

Data security findings delivers cloud-native data security posture management (DSPM) capabilities in Sysdig Secure through an integration with Bedrock Data. Data security findings treats sensitive data as a first-class security signal — alongside vulnerabilities, misconfigurations, identities, and runtime threats — to help you reduce risk faster, prioritize what matters most, and protect your most valuable data without adding new agents or tools.

Data security findings leverages serverless technology to efficiently scan and classify data in your AWS S3 and RDS, Azure Blob Storage, and Google Cloud Storage environments. An in-environment outpost analyzer generates classification results and metadata, which are transmitted to the Bedrock Data SaaS platform for processing before being securely sent as security findings to the Sysdig Secure platform. By leveraging a "metadata only" approach, the integration ensures that sensitive information never leaves your environment.

Sensitive data insights are ingested directly into Sysdig Secure for broader risk context, including:

Runtime activity: Correlate data findings with real-world behaviors like suspicious process activity or lateral movement attempts.
Unified risk prioritization: See sensitive data exposure alongside misconfigurations, vulnerabilities, and live attack paths, all in a single prioritized view.

With Sysdig Secure data security findings, you can stop watching and start defending your most sensitive data.

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FAQs

Is data security findings a standalone feature in Sysdig Secure?

How is data security findings licensed?

Does sensitive data leave my AWS, Azure, or Google Cloud environment?

Do I need to deploy new agents or tools to use data security findings?

Which cloud services are supported by data security findings?

What types of sensitive data does data security findings detect?

How does data security findings compare to standalone DSPM tools?

Data security findings gives you core DSPM capabilities directly inside Sysdig Secure: discovering, classifying, and assessing risk to sensitive data. Standalone DSPM platforms may offer additional depth in areas like advanced data lineage or entitlement analysis, but our approach is to integrate sensitive data context into our CNAPP so you can see data exposure alongside posture, vulnerabilities, identities, and runtime activity without adding another silo.