A data protection strategy is a set of processes and technologies that are used to protect data. Backup is a key component of an effective data protection strategy. Traditionally, backup data was copied nightly to a tape drive and accessed only when the primary storage failed. Now, backups are integrated with other data protection functions to help protect data in a variety of scenarios.
The right to personal data protection applies wherever personal data is processed. Processing must be proportionate, relevant, and limited to what is necessary. Personal data should be processed for a specific purpose, and the purpose should be explicitly stated when the data is collected. The period for which data is kept must also be reasonable and limited to the minimum necessary for its intended use.
Certain categories of personal data are especially sensitive. These include information on a person’s health, ethnic origin, religious / philosophical beliefs, or sex life. Besides, sensitive personal data may include genetic data or biometric data that can be used to uniquely identify a person. These categories of data are not generally subject to processing except when the lawful basis is a legitimate one.
Personal data is any information that can be used to identify a living person. This information can include a person’s name, date of birth, email address, telephone number, or address, as well as details on their physical characteristics. It does not have to be in writing, and can be in the form of photographs, videos, or audio recordings. Processing of these types of information must be based on legitimate business purposes, and it must be protected by law.
Secondary storage can be a critical element of a data protection platform. There are several factors to consider when choosing this type of storage, including speed, scalability, and cost. The best option for your business will focus on the workloads that require the most backup and recovery. Secondary storage may not be required for all workloads, however.
Secondary storage is typically comprised of multiple hard-disk drives (HDDs) and may include solid-state NVRAM. These secondary storage devices are used for long-term storage, and they may be connected to the main computing network through a storage area network. They are often configured as redundant arrays of independent disks for higher access bandwidth and reliability.
Secondary storage can be costly to deploy, but some vendors offer cloud-based options for a fraction of the cost. While this type of secondary storage can provide high performance and lower costs, there are several drawbacks to its use. The main drawback is that it is not as simple to expand capacity. It also may require additional hardware resources that are not included in the base price.
Firewalls are an essential part of protecting data, and they can also help prevent attacks. These devices work by filtering packets based on their content. Generally, there are two types of firewalls: stateful inspection and packet-filtering firewalls. Stateful inspection firewalls maintain a table of open connections, and they compare each packet’s header with the table’s state. This feature helps to prevent attacks that use existing connections to gain access to sensitive data.
Packet-filtering firewalls work by analyzing the data packets that are sent between client networks and the internet. They evaluate the source and destination addresses of the packets and assess them according to rules that they establish. In addition, these firewalls also perform proxy services, which filter messages at the application layer. Early firewall devices acted as gateways, blocking direct connections from the outside network. They also enabled caching, allowing web pages to load faster.
Next-generation firewalls provide application awareness and control to deal with ever-changing security threats. They also provide standard firewall functions, including intrusion prevention. The most effective firewalls can block both incoming and outgoing traffic and even monitor network virus attacks.
Data classification systems can be helpful for ensuring data security. They tag data by type, sensitivity and value, enabling organizations to know the importance of specific data and whether it’s worth protecting. They also help organizations meet industry regulations and GDPR compliance. Generally, organizations should use three levels of data classification: high-sensitivity, medium-sensitivity and low-sensitivity. High-sensitivity data contains information that could have disastrous consequences for the organization, while low-sensitivity data can be misused without causing too much harm.
A data classification system helps organizations identify sensitive data, prioritize security controls and simplify legal discovery. A well-organized classification system will enable organizations to better protect their most valuable assets, ensure employee compliance, and simplify risk management. In addition, data classification systems help organizations protect sensitive data and manage their privacy and security policies.
Classification systems also help organizations protect classified data. These systems enable users to designate the highest level of sensitivity for various data types. These systems can also integrate with policy-enforcing solutions, such as data loss prevention software.