Use case
Reign in Data Sprawl with Confidence
Control data sprawl and secure sensitive information by identifying misplaced, restricted, and non-compliant data across environments.
Without Controlling Data Sprawl, Data Security is Futile
Sensitive data has a way of ending up in locations where it doesn’t belong, whether it’s the result of misconfigurations, over-permissive access, or poor governance. When organizations fail to control data sprawl, it leads to compliance violations, security risks, and data leaks. Cyera helps ensure your organization maintains visibility and control over data sprawl.
83%
of data security leaders believe that a lack of visibility into data is weakening their overall security posture.
Pinpoint and Prevent Sensitive Data Sprawl
Discover, classify, and monitor sensitive data across your environments to find and prevent data sprawl.
Identify restricted data (e.g., IP, PII, PHI) in unauthorized locations such as OneDrive, personal cloud drives, or unapproved applications.
Locate unmanaged, restricted data that has drifted into unauthorized SaaS, cloud, or on-prem environments.
Enable and refine DLP policies to prevent uncontrolled data movement at scale.
Prioritize and Act on Data Sprawl Risks
Prevent unauthorized sensitive data exposure and enforce data governance at scale.
Enforce controls to alert or remediate violations before they result in compliance fines.
Ensure security and governance teams stay ahead of potential data exposure with automated policy enforcement and risk prioritization.
Automatically prioritize data sprawl risks to take action on the biggest issues first.
Prevent Production Data from Being Used in Non-Production Environments
Secure sensitive production data and eliminate risks from misused datasets.
Detect when development teams copy production data into non-production environments, preventing accidental data leaks.
Ensure safe testing practices by enforcing the use of anonymized or synthetic data instead of real customer information.
Leverage AI-native classification to identify where production data is inappropriately used outside of approved environments.
Detect when development teams copy production data into non-production environments, preventing accidental data leaks.
Ensure safe testing practices by enforcing the use of anonymized or synthetic data instead of real customer information.
Leverage AI-native classification to identify where production data is inappropriately used outside of approved environments.
Enforce Data Localization & Residency Compliance
Maintain regulatory compliance by ensuring data stays where it should.
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Detect data stored in non-compliant regions that violate data residency laws (e.g. GDPR).
Monitor and enforce localization policies to prevent data from leaving its designated jurisdiction.
Simplify compliance audits with automated tracking of where data is stored and processed.
Detect data stored in non-compliant regions that violate data residency laws (e.g. GDPR).
Monitor and enforce localization policies to prevent data from leaving its designated jurisdiction.
Simplify compliance audits with automated tracking of where data is stored and processed.
Customer Validation
Take Control of Your Data Security and Compliance
See how you can eliminate data sprawl and strengthen governance.
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