Cloud computing is an integral part of most businesses globally. Technology has transformed the way businesses operate and thrive in the industry. However, the cloud industry has been facing huge challenges when it comes to complying with various data protection and data privacy standards. With the enforcement of the General Data Protection Regulation (GDPR), a lot has changed for most businesses.

At its core, HIPAA compliance is simply about maintaining patient privacy by ensuring the appropriate access to and use of patient data by your users. Electronic Health Record (EHR) solutions provide detail around when patient data is accessed, but without visibility into what users do with sensitive patient data after they access it, the risk of data breaches, compliance violations, and the investigations, fines, and reputational damage that comes with them, is significantly increased.

In order to understand how to report a data breach, we first have to know what a data breach actually is. Under the GDPR, a personal data breach is “the accidental or unlawful destruction, loss, alteration, unauthorised disclosure of, or access to, personal data.” This covers a wide range of scenarios, some of which might be surprising. The following would all be considered as data breaches under the GDPR.

What is Data Safety, why is it important, and how do you go about designing into the foundations of your data environment? When you see the phrase "Data Safety", the chances are you think of Data Security. Most people do. What is far less likely is that you think of the other two pillars of Data Safety: Data Privacy and Data Governance. Clearly, all three pillars overlap.

Reduced costs, new revenue streams, greater customer trust and new markets The best data privacy programmes are granular. They assess the root of every data source, the nuances of every data use and the specifics of every way in which data is stored and shared. From that finite visibility, liabilities can be identified and appropriate remedies put in place that carefully balance the demands of the data subjects with the needs of the business.