✖ - No
In a single sensitivity label, one classification level is applicable only.
One active level per document only.
One main level per document is applicable only.
Hierarchically, one level per document is applicable only.
✓ - Yes
Up to 4 active levels per document are applicable.
Microsoft Purview
Location-based classification is available.
Varonis
File-system level, metadata empowered, location-based classification.
Digital Guardian
⚠ - Partially
Focus on policy driven classification.
Shinydocs
⚠ - Limited
Optimized for content and metadata analysis.
ECLASS
No location-based classification is available.
Grayteq Classifier
Full range location-based classification is available.
Default sensibility label can be defined.
Corporate baseline cannot be defined.
Available, but on meta data level only.
Not a security-driven classification solution.
Fully customizable corporate default classification is available.
Mandatory labeling policy is applicable.
No such native functionality. Applicable with integration with other solutions.
Available on meta data level only. No dedicated forcible classification.
Not a security-driven classification solution. No such feature is available.
Full range forcible manual classification is available.
No dedicated classification for time-stamped/digitally signed documents.
Content-, and access-based solution. No such feature is available.
⚠ - Conditionally
If meta data is accessible, such classification is applicable.
Classification for time-stamped/digitally signed documents is not available.
Classification for time-stamped/digitally signed documents is available.
Unlimited classification hierarchy is accessible.
No "real" sublevel hierarchy is available. Rather extra labels.
Label publishing policy is accessible.
No label publication to users.
Available via policies only.
No dedicated user/group level filtration.
No classification restriction for users is available.
Uses Microsoft AI and trainable classifiers to automatically identify and classify sensitive content.
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Primarily relies on policy-based classification with limited AI assistance.
AI capabilities are available in selected scenarios only.
Does not provide AI-assisted document classification.
Uses Grayteq's proprietary, on-premise, AI-assisted classification to automatically identify and categorize documents.
By default, AI processing happens in Microsoft Cloud, but in certain configuration, on-premise AI processing is supported.
No on-premise AI is available. Corporate data is processed by AI outside of the corporate perimeter.
On-premise Grayteq AI ensures that corporate data get AI-processed within corporate perimeter.
Uses machine learning models and trainable classifiers to improve content recognition.
>Leverages machine learning to analyze data context, usage patterns and content characteristics.
Primarily uses rule-based classification, pattern matching and fingerprinting techniques.
Machine learning capabilities only applied in specific document processing and classification scenarios.
Does not provide machine learning-based classification.
Uses machine learning-assisted and trainable classification to improve the accuracy of content recognition.
Uses natural language processing and AI-based classifiers to understand document content.
Uses NLP and AI analysis to identify sensitive content and improve data classification accuracy.
Limited NLP capabilities; mainly based on rules, patterns and content inspection.
Provides intelligent document analysis with NLP capabilities in selected use cases only.
No NLP support; it is a product classification standard, not a content classification solution.
NLP-based content understanding enables accurate semantic classification of enterprise documents.
Supports multilingual content classification with AI-based capabilities designed to recognize sensitive information.
Supports classification of multilingual data by analyzing content across different languages.
Supports multilingual content inspection through rules, dictionaries and pattern-based detection only.
Multi-language support depending on the applied analysis and classification technologies only.
Does not provide multilingual document classification capabilities.
Supports multilingual document classification by analyzing content in different languages and enabling consistent classification across global enterprises.
Supports trainable classifiers that can be customized using labeled document samples.
Customer-trained classification models is more limited compared to dedicated trainable classifier solutions.
Primarily relies on predefined policies with limited support for customer-trained AI classification models.
Limited publicly available information on customizable AI model training.
Does not support trainable AI models, as it is a standardized classification framework.
Supports trainable AI-models that can be adapted to organizational requirements and improve accuracy.
Supports pre-trained classifiers that can be post-customized using labeled document samples.
Pre-trained classification models are more limited compared to other solutions.
No pre-trained classifier models are available.
Supports human validation and feedback workflows that allow admins and users to review classification results.
Dedicated AI human-in-the-loop model training workflows are limited.
Human involvement is primarily focused on incident review rather than AI model improvement.
Limited publicly available information on AI-driven human feedback workflows.
Does not support AI human review workflows, as it is a standardized product classification framework.
Supports AI human review, allowing admins and users to validate and improve classification accuracy through human feedback.
Grayteq Classifier is the solution to keep your documents properly classified and take the next big step to comply data security laws and regulations.