Cloud data protection refers to the practice of ensuring organizations securely store, process, and manage data in a cloud or hybrid environment. To protect data in the cloud, it is necessary to coordinate data policies, methods of protection, and technical tools.
Companies regularly produce, gather, and store large volumes of sensitive data, including trade secrets and sensitive customer data. Organizations also transfer data to the cloud and store it in various locations, which adds another level of complexity. These locations range from straightforward public and private cloud repositories to complex architectures like hybrid clouds, multicloud, and Software-as-a-Service (SaaS) solutions.
The result? The introduction of numerous security difficulties. These challenges are exacerbated by increasingly strict data privacy and protection laws and shared responsibility models adopted by cloud vendors like AWS, Azure, and Google Cloud Platform (GCP).
Here are some of the most significant challenges:
- Visibility: Keeping an accurate inventory of all applications and data is difficult.
- Access: Compared to an on-premises infrastructure, there are fewer restrictions over data and applications housed on third-party infrastructure, making them more susceptible to breaches. Seeing what consumers or team members are doing and discovering how their data or devices are being used is not always feasible.
- Controls: Shared responsibility models are offered by cloud suppliers, so while cloud users have more control over some security features, others are still under the vendor's control. As a result, customers cannot guarantee data security.
- Inconsistencies: Different cloud vendors provide different data security features, which may result in inconsistent cloud data protection and security.
Threat actors may take advantage of any of these issues. This can result in the loss or theft of company secrets, financial or private information, and malware or ransomware infections. To prevent data breaches, a data loss prevention (DLP) strategy is necessary.