THE PROBLEM
Organizations face tremendous difficulty in identifying and classifying custom business-critical files within their unstructured data estates. Traditional methods, such as out-of-the-box classification models and manual techniques, are inefficient in locating and categorizing custom-generated data specific to an organization and its industry. As the volume of this data grows, these conventional approaches struggle to keep pace, posing significant risks to the business.
OUR SOLUTION
Zantaz Data Optimization addresses this challenge by efficiently managing and securing critical information through its Custom Data Classification workflow. Zantaz Data Optimization utilizes localized, secure, ring-fenced classification models, allowing organizations to train the model with a specific dataset. This tailored approach enables the model to accurately identify and classify custom-generated data pertinent to the organization and its industry. Once trained, the model can be applied to any filtered unstructured data sets, swiftly locating and categorizing essential information. This classified data can then be relocated to a secure location if needed, significantly mitigating risks associated with the rapid generation of custom data and ensuring the organization's critical information is properly managed and protected.
Custom Trainable Classifier: Zantaz Data Optimization offers a unique capability with its Custom Data Classification workflow, allowing organizations to train the classification model with their specific data sets. This ensures a highly tailored and accurate identification and classification process for custom-generated data pertinent to the organization and its industry.
Local and Secure Processing: Zantaz Data Optimization uses localized, secure, ring-fenced classification models. This approach enhances data security and ensures compliance with stringent data protection regulations by keeping sensitive information within the organization's control. Some competitors do offer trainable classifiers, but the extent and flexibility of these features may vary.
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