Best Data Security Software for Cloudera Data Platform
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Compare the Top Data Security Software that integrates with Cloudera Data Platform as of June 2025
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This a list of Data Security software that integrates with Cloudera Data Platform. Use the filters on the left to add additional filters for products that have integrations with Cloudera Data Platform. View the products that work with Cloudera Data Platform in the table below.
What is Data Security Software for Cloudera Data Platform?
Data security software is designed to protect sensitive data from unauthorized access, theft, or corruption. It includes a variety of tools and features such as encryption, access control, data masking, and backup and recovery to ensure that data remains secure at rest, in transit, and during processing. These solutions help organizations comply with data protection regulations, such as GDPR and HIPAA, by safeguarding personal, financial, and business data. Data security software often integrates with other IT security systems to provide comprehensive protection against cyberattacks, insider threats, and data breaches, ensuring that critical information remains protected. Compare and read user reviews of the best Data Security software for Cloudera Data Platform currently available using the table below. This list is updated regularly.
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Protegrity
Protegrity
Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.
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