The last ten years have seen a revolution in how enterprise software companies have rolled out their solutions. Previously, the default offering was to implement a Commercial Off-the-Shelf (COTS) software package running on a client’s on-premise hardware infrastructure. But that’s now old hat – nobody is doing that anymore.

Today’s hybrid IT infrastructures make it more challenging than ever to identify and protect sensitive data. Across a smorgasbord of cloud services and employee-owned BYOD devices, sensitive data is often stored and shared in many different areas. And this data dispersal opens up a wider surface for issues such as data leakage and theft.‍

Data flow mapping is a technique used to identify the interaction points between all parties in an organization. It tracks the flow of data within the company, including the personal information of the customers, staff, and other third parties involved. In addition, it is essential to implement data flow mapping to comply with regulations like EU GDPR and PII. Today, many organizations have moved to cloud services, increasing the need for data flow mapping even more.

Cloud data security means - securing your data assets and resources running on the cloud. The adoption of cloud technologies offers flexibility and benefits that were never possible with traditional computing. For this reason, almost 83% of enterprise workloads are currently running on cloud platforms. Unfortunately, due to this radical shift, we also see a steady increase of cybercriminals focusing their efforts on compromising cloud infrastructure and data.