Data Protection

Discover. Classify. Protect. 
Data security that accelerates innovation.
 

 
As GenAI accelerates data creation and shadow IT expands beyond security’s visibility, protecting sensitive information is becoming more complex.

Organizations must know where their data lives — across cloud environments, SaaS applications, and on-premises systems — along with the ability to discover, classify, and protect it with policy-driven controls that enable secure AI adoption and reduce risk from unsanctioned tools.

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Where Trusted Brands Turn for Data Security

Data Protection Solutions from Fortra

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Organizations rely on sensitive data to serve customers, drive innovation, and grow. Security leaders need visibility into that data, protection against loss or theft, and safe ways to share it beyond the enterprise.

Fortra’s data protection solutions deliver layered, adaptable security for every cybersecurity maturity level. Our modular solutions meet immediate needs, safeguard critical data, and guide the next steps as your security program evolves.

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Fortra Data Security guide

 

 

Discover how Fortra’s interlocking data security solutions protect sensitive data while keeping users productive.

 

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Frequently Asked Questions

Data protection is the practice of safeguarding critical information from theft, loss, or misuse — whether accidental or malicious. It ensures that data is accessible only to authorized users and meets regulatory requirements. With data volumes growing daily, hybrid work environments, and cloud adoption, robust enterprise data protection is essential to secure information wherever it lives or is used.

While often used interchangeably, data security and data protection have distinct focuses. Data security defends information from internal, external, accidental, or malicious threats throughout its lifecycle. Data protection ensures valuable data is safeguarded against loss or compromise, using technologies and policies to keep it secure and accessible within an organization’s data governance framework.

Individuals expect organizations to handle their data responsibly, and failing to meet privacy regulations can lead to hefty fines and lasting reputational damage. Relying only on employees increases risk, so automated data protection solutions — capable of identifying, classifying, encrypting, and securing data end-to-end — are essential to safeguard sensitive information.

Cloud data protection involves using tools and techniques to secure data in use, in transit, and at rest across SaaS applications, private apps, and cloud storage repositories.

As organizations move data to public, private, hybrid, or multi-cloud environments, the risk of accidental breaches, insider threats, and external attacks grows. While cloud platforms boost collaboration, remote access, and productivity, robust data protection is essential to keep sensitive information secure.

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