Security

Enabling Data Loss Prevention

Enabling Data Loss Prevention

 
Data loss prevention (DLP) is one of the key technologies to reduce the risk of a sensitive data loss such as intellectual property, financial data, healthcare data, blueprints, schematics, and regulated data. There are many techniques on how the data can be protected through the various DLP policies. However, most of them struggle with the lack of contextual knowledge of information that should be protected. To solve this problem, companies create hundreds of complex rules and measure the false-positive rate for these events, playing on increasing the complexity of their DLP. This leads to a lack of actionable intelligence. It is not uncommon to have tens of thousands of alerts about sensitive files with little or no context at all on what to do with those files and alerts! How to verify thousands of alerts and proceed with sustainable remediation?

 

Enabling Data Loss Prevention

 

Data Classification is the solution. Getvisibility is a software product that focuses on data security for unstructured text content across complex, enterprise networks with multiple document formats and stores involving thousands of users. We provide both automatic and manual data classification capabilities empowered by the proprietary Machine Learning and AI technology.

 

Many of our customers have enterprise DLP software products deployed and in production, with many terabytes of data managed using these products. The Getvisibility platform is built to integrate with these DLP products and enhance these with the power of state-of-the-art machine learning and natural language processing to allow our customers to significantly reduce the DLP complexity and the rate of false-positives alerts.

 

With the right data classification tool in place that allows you to control, monitor, and ensure the correctness of classification results even in the case of very complex classification taxonomy, it is possible to outsource the complex DLP rules to such data classification platforms. Organisations that acquired and implemented data classification as part of their workflow and operations have much lower chances of a data loss. Knowledge of file content, its sensitivity and risks allows getvisibility to accurately classify file in multidimensional space of Classification Tags like confidential or restricted, Compliance Tags such as GDPR-PII or ITAR, Category tag such as Business or HR document, and Sub-category Tag such as Invoice or Blueprint.

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