Users
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Users' experiences with Cybral Guard will be determined by the three classification modes configured by the administrator on the Cybral Guard portal. These modes include AI classification, manual classification, and recommended classification. Each mode offers distinct functionalities and user interactions tailored to meet the organization's data protection needs.
In the AI classification mode, labels are automatically assigned to files by AI algorithms, restructuring the classification process for users. However, it's important to note that in this mode, while the manual classification group labels will be visible on the top of the file, the labels associated with the AI classification group will not appear. Instead, the AI manages the classification process separately.
If the policy consists only of AI classification groups, users won't see any labels at the top of the file. This is because the AI is responsible for automatically assigning labels based on the content of the files. Thus, users can depend on the AI to classify their files without needing to manually select labels.
When saving the file, a message will appear for the user informing him that the document is undergoing the classification process. After a few seconds, the classification will be completed, and the user will see the labels applied by the AI on the file.
To check the AI classification on a file, simply right-click on the file, select "Properties," and then navigate to the "Cybral" tab. There, you'll find the label assigned by the AI.
In Manual Classification Mode, users have the independence to personally assign labels to files, providing the option to file classification. Unlike AI Classification Mode, where labels are automatically assigned by algorithms, users take charge of categorizing their files according to predefined criteria. In this mode, users can visibly see the labels associated with manual classification groups displayed atop the file.
In the example below, users will manually assign labels to the three classification groups displayed at the top of the file. This process is part of the Manual Classification Mode, where users take responsibility for categorizing files according to predefined criteria.
Before proceeding with labeling the file, users must first save the document. This ensures that any changes made to the file are properly recorded and applied. Once the file is saved, users can then proceed with specifying the appropriate label for each classification group according to the organization's policies.
In the provided example, the user has specified the label for each classification group, ensuring that the appropriate classification is applied to the file. This proactive approach aligns with organizational policies and helps maintain consistency and accuracy in data classification across the system.
When attempting to add a label multiple times, the system will inform the user that the label has already been applied.
If a user forgets to assign a label to a file, a message warning them to specify the mandatory classification group will appear. This serves as a gentle reminder to ensure that all files are accurately categorized according to organizational policies and standards.
In this example, users need to add labels for ISO and NIST classifications because they're mandatory. A message will remind users of this. However, for the non-mandatory group set by the administrator, labeling isn't required. So, users can choose not to label files for this group if they prefer.
With an empty files, users are unable to label the file. The document must contain content before users can proceed with assigning labels. This requirement ensures that files are properly classified based on their actual content, enhancing the accuracy and effectiveness of the classification process.
When a user selects a label with lower severity for classified information that requires a more restricted classification, a classification correction message will appear.
The system notifies the user of the reason for rejecting the chosen label, stressing that the file contains sensitive data. It then lists the invalid labels, regulations, and sensitive data that cannot be applied, ensuring users understand why their chosen classification is not allowed and guiding them towards selecting the appropriate classification for the file.
Users have the capability to expand each item within the sensitive data section to access detailed information about that specific item. In the example provided, the user expanded the section of the invalid labels that cannot be applied to the file. This includes the low impact label, which is indicated as unsuitable for classification due to its inability to address the sensitivity level of the file.
When expanding the regulations section, users will be presented with a list detailing the specific regulations applicable to the file.
The sensitive data found within the file will be listed for the user to review, providing details about the specific information that requires the application of a particular label. This detailed overview enables users to understand the factors driving the classification requirements for the file, ensuring accurate and appropriate labeling based on the presence of sensitive data.
Users can observe a different format of the classification groups at the top of the file, either in a dropdown menu or as a ribbon. In this example, users will interact with the classification groups in the form of a dropdown menu, allowing them to select the appropriate labels for each group manually.
In the recommended classification mode, both manual and AI modes are combined, making it mandatory for users. Since AI intervention is inherent in this mode, the mandatory aspect cannot be optional.
Labels will be visible at the top of the file, similar to the manual mode. In this example, the user has designated the label "Normal" for this file.
In this example, our user forgot to label the file before closing the file, so the file was automatically labeled by the AI. This labeling is based on the files that were uploaded to the system for AI training. In this case, the AI is responsible for labeling the file.
Users have the option to hover the mouse over the labels at the top of the file to access detailed information about each label. This feature provides users with additional context and understanding of the classification applied to their files.
Cybral Guard operates within Outlook, offering users the same classification capabilities as other applications. Users can view classification groups at the top of their emails according to the format defined by the administrator. This could involve manual classification by the user, recommended classification combining manual and AI modes, or entirely AI-driven classification. In the example below, users will see the classifications applied by AI.
In Outlook, if a connection issue arises, Cybral Guard will generate a warning message informing the user to review both the message recipient and the message content. This proactive approach helps users identify and address any communication issues effectively.
For manual and recommended modes, If a user attempts to assign an incorrect label to a file that falls under the restrictions defined in the AI data classification, the system will prevent them from doing so. Instead, the AI will automatically select a more appropriate label based on the content and context of the file, ensuring compliance with the specified regulations and standards.
Clicking on the help icon next to the labels at the top of the page will conveniently direct users to the relevant section of the manual, providing them with instant assistance and guidance on how to interact with the labels and classification system.
