The most critical asset of a growing number of companies is securing the content and usability of their databases. The purpose of the new EU data protection regulation that will become enforceable in May 2018 is to ensure the appropriate processing of, in particular, personal data. The goal of the regulation is for citizens to be able to trust that their personal data will be protected and that as a result, they will more readily provide their information to businesses that serve their needs.
The protection and security of a company’s critical business data are more important now than ever before. Illegal and malicious activity targeting data systems has already reached a scale that is far beyond most conventional forms of crime. A company can suffer major financial damage if the wrong people gain access to its customer, product development, research, process description, subcontracting or financial data. Indirect damage, such as the impact on the company’s image, may also be disastrous.
What should you protect and how?
Are firewalls, virus protection and advanced user and event management processes not enough then? Data management environments are becoming more homogeneous and fragmented. Multi-supplier environments, multi-platform solutions, cloud services, users’ own devices and many other solutions have made watertight protection more difficult to achieve. What makes things worse is that about two thirds of data break-ins come from within, so the perpetrators have a broad range of access rights to begin with.
Modern database security solutions can be used to control the activity of all users around databases; unauthorised searches and requests from users can be identified, interrupted and logged. With the appropriate data security solutions it is easy to find out who has searched for critical data and when. The protection is automatic and the logs are complete. This is why the automation of data security processes has become a key criterion of data security.
From data to data-driven management
Houston Analytics and Advance have a lot in common: we both build solutions for data management and data-driven management that are of higher quality and more secure than the rest. The key principles of the new data economy business-orientation, genuine customer-orientation, cost competitiveness, operational flexibility, transparency and measurability.