Security software for data protects digital information from unauthorized access manipulation or theft. It includes multiple tools and technologies like encryption, logging and monitoring as well as data protection. It also includes policies and procedures, as well as tools to handle data breaches.
Cybercriminals are only one of the many threats to data security. Human error is the most common cause of data breaches. This is why tools for protecting data contain features that help to identify errors that could be made, for example, placing sensitive files on shared drives or opening the incorrect email attachments.
Limiting physical access to storage devices and servers is another important aspect of data security. Physical security measures could be such things as requiring employees log in before entering the building. It is also recommended to include marking and securing equipment to ensure that only authorized personnel can have access to it. This is especially important in cloud-based data centers which may not be in control of the physical space.
Data security solutions can protect data in transit and at rest by encrypting the data so that only those who have the right key can read it. This is typically used as a complement to firewalls, intrusion prevention or detection systems (IDS/IPS) and network-based identification systems.
One data security feature that useful reference top driver is often overlooked is user behavior analytics. This establishes baselines for normal activities and identifies anomalies that could indicate unauthorised access. This feature is commonly included in software for monitoring data warehouses, relational databases, and big data.
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