DSPM

統合されたデータ漏洩保護

機密データや機密情報の漏洩を継続的に監視し、攻撃経路をプロアクティブに排除してデータ侵害を防止します。

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Wiz DSPM scans

Remove data risk with context

Attack paths in the cloud are complex. Detecting data exposure is not enough. Wiz DSPM provides graph-based context allowing you to effectively remove attack paths to data.

The data security platform

Data discovery and classification

Continuous agentless discovery of your sensitive data in code, IaaS, PaaS, DBaaS, and AI against built-in and custom classifiers. Easily answer "Where is my sensitive data located"?.

Data risk assessment

Automatically correlate your sensitive data with underlying cloud context, including public exposure, identities and entitlements, vulnerabilities, malware, and lateral movement to remove attack paths to sensitive data.

Continuous data compliance

Continuously assess and report on your compliance posture against regulatory frameworks such as PCI DSS, HIPAA, HITRUST, and others. Ensure data sovereignty with a geographical view of data findings.

Data access management and governance

Easily answer "Who can access what data in my environment?" to ensure only authorized users to access sensitive data and remove excessive access to critical data.

Scan IDEs, VCS repos, pull requests, and CI/CD pipelines to identify sensitive data

Code and pipeline data scanning

Scan IDEs, VCS repos, pull requests, and CI/CD pipelines to identify sensitive data

Secure your data. Stay compliant.

Enhancing data findings with cloud and workload context delivers a data security solution that is specifically designed for detecting complex attack paths in the cloud.

Protect sensitive data

Discover and classify sensitive data in your cloud with built-in classification rules including PII, PHI, PCI, and secrets or define custom classifiers, all without agents. Extend data scanning to code and CI/CD pipelines.

Improve security posture

Detect attack paths to critical data using context on the Wiz Security Graph to easily answer which data is stored where, who can access what data, how data assets are configured and utilized , and how data moves across environments.

Meet regulatory compliance

Continuously assess compliance against data security frameworks such as PCI DSS, GDPR, HITRUST, and others and identify geographical locations of sensitive data to ensure data sovereignty.