Decorative

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.

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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.

Graphic showing detection and prevention of sensitive data spreading across unapproved locations.
Decorative

Identify restricted data (e.g., IP, PII, PHI) in unauthorized locations such as OneDrive, personal cloud drives, or unapproved applications.

Decorative

Locate unmanaged, restricted data that has drifted into unauthorized SaaS, cloud, or on-prem environments.

Decorative

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.

Visual representing the identification and prioritization of data sprawl risks for immediate action.
Decorative

Enforce controls to alert or remediate violations before they result in compliance fines.

Decorative

Ensure security and governance teams stay ahead of potential data exposure with automated policy enforcement and risk prioritization.

Decorative

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.

Illustration emphasizing the prevention of production data misuse in development or testing environments.
Decorative

Detect when development teams copy production data into non-production environments, preventing accidental data leaks.

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Ensure safe testing practices by enforcing the use of anonymized or synthetic data instead of real customer information.

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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.

Graphic showing enforcement of data residency and localization compliance.
Decorative

Detect data stored in non-compliant regions that violate data residency laws (e.g. GDPR).

Decorative

Monitor and enforce localization policies to prevent data from leaving its designated jurisdiction.

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Simplify compliance audits with automated tracking of where data is stored and processed.