ZyLAB Launches Privacy Protection Program for Big Data

ZyLAB today announced that it launches a Privacy Protection Program that provides organizations the technology to conduct privacy impact assessments, check processing activities against privacy regulations, and to track incidents that can lead to unauthorized disclosures of personal data.

The Privacy Protection Program includes a self-installable library to automatically identify potential PII-security issues. Protecting the privacy of customers and employees in a proactive way should be entrenched in everyday business practices and starts with assessing what Personally Identifiable Information (PII) needs to be secured and where it is located.

Once located, organization can check if security and access policies are sufficient or if data unintentionally contains personal identifiable information. ZyLAB’s Privacy Protection Program To support enterprises in their efforts to increase their levels of data- and privacy protection,

ZyLAB introduces a Privacy Protection Program that consists of advanced data analysis and processing technology in combination with best-practice methods to recognize lexical-, syntactic- and semantic patterns of personal data in almost any kind of data, location or language. Following the self-installable library containing best practice methodology for eDiscoveries, ZyLAB’s Privacy Protection Program includes a self-installable library that has all the content to automatically identify potential PII-security issues. The library is available as an add-on to the ZyLAB platform.

ZyLAB provides the technology to analyze data in more than a thousand electronic formats, including audio and pictures, from more than 200 different location types, including popular cloud and social media formats such as Microsoft 365, Google Docs, and many more. Privacy related content can be recognized in more than 450 languages, not only on a lexical (word) level, but also by including syntactic and semantic analysis. 

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