However even small companies with clients from one region should be aware of private data in their systems, hence it is advised to frequently use one of listed sensitive data discovery software by organizations of any size.
Stefanie Matz, project manager of this new tool, to find out more. It is helpful especially when an organization uses many different data sources (files, databases, personal archives) or data regarding several countries, where identifying e.g., ID numbers may get complicated. Developed specifically to both unify and replace SAP’s wide range of online tools for customers, the innovation discovery tool offers a clean, single point of access to SAP Business Suite. Sensitive data discovery software is only part of personal information protection policy, although very important part.
Loss of reputation – today’s more aware of cybersecurity customers may refuse to trust a company which violated data privacy rules. Legal prosecution – according to the Data Protection Act 2018 in UK, employee can face prosecution for data protection breaches,. Clients’ loss – PCI Pal conveyed a survey in which 83% of US customers claimed, they would stop spending with a business for several months in the immediate aftermath of a security breach,. Financial fines – London based pharmacy Doorstep Dispensaree Ltd was fined £275,000 for leaving medical files unprotected,. Not following rules can have severe consequences such as: Each organization should store only this information that are necessary for its’ functioning and collect them only with explicit consent (both are currently enforced by law). No privacy data should leak, nor it should be seen by unauthorized people. Why sensitive data classification is important? First and foremost, it is sign of care for clients and employees. Furthermore, some of them offer periodic synchronization with data sources, to automatically classify newly added information. Many of these solutions can work not only with structured, but also with semi-structured and unstructured data. 
Much better is to use one of sensitive data discovery tools which does all that work automatically. This solution, however, is very time-consuming and prone to mistakes. Discovering sensitive data can be done manually, simply by looking into each data source and identifying those with personal information inside.
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