What is Data Security?
Data security refers to a variety of technologies and processes that prevent bad actors from gaining access to sensitive or confidential information. This is done by ensuring that only authorized users can access and work with the data they are entitled to use and use secured and trusted methods. Authorization, authentication, and role-based access controls are the most important aspects.
A robust strategy for protecting data enables business resilience, providing the ability to continue operations and swiftly recover from disasters such as user errors, software downtimes or malware attacks. It is equally important to ensure backups of mission-critical data can be recovered quickly and are protected by both physical and logical security measures.
Data security tools permit organizations to track the locations of their most important information and observe how it is being used. They can also see who is gaining access to that data. They should be in a position to implement a variety of security measures, such as encryption of data, data masking and redaction and automated reporting to help audits and comply.
Additionally, they must provide data protection at the source, whether that be in a database, cloud storage or file. This can include implementing zero-trust principles that rely on immutability Quorum controls, and other security features that prevent malicious applications from altering or delete your data. They can also make use of advanced security tools like behavioral analytics. This helps to identify normal patterns of data usage and alerts of suspicious or risky behavior. They can also employ machine learning and cognitive computing which mimics the human mind to assist identify security threats and protect data real-time.
