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- Damage Evaluation A process used to assess the extent and impact of harm caused by an event, such as a cyber-attack, natural disaster, or accident. In a cybersecurity context, this involves analyzing the consequences of a breach or attack, determining which assets were compromised, and estimating the associated costs and operational impacts. It includes identifying data loss, service disruptions, financial implications, and reputational damage. A thorough damage evaluation is crucial for developing an effective recovery plan and mitigating future risks.
- Dashboard In a broad operational sense, a dashboard is a visual display that aggregates and simplifies key information and metrics about the system's operation. In a security context, dashboards are often employed to provide a consolidated view of the organization's security posture, presenting important metrics such as ongoing threats, vulnerabilities, incidents, and overall system health.
- Data Aggregation The process of collecting and summarizing information from multiple sources to achieve a consolidated view. Often used in data analytics, business intelligence, and reporting, it allows for more informed decision-making by presenting a comprehensive picture of collected data for analysis. Aggregation can involve compiling detailed data into summary form, computing sums, averages, counts, or other metrics that provide insight into trends, patterns, or performance across datasets.
- Data Analysis The process of inspecting, cleansing, transforming, and modeling data with the objective of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under various names in different business, science, and social science domains. It typically involves removing noise or inconsistencies from data to highlight meaningful trends and patterns, which can then be used to make informed predictions, decisions, and hypotheses in various areas such as market research, business intelligence, and operational efficiency.
- Data at Rest Refers to inactive data that is stored physically in any digital form, such as databases, data warehouses, spreadsheets, archives, tapes, or off-site backups. It contrasts with data in transit or data in use. Protecting data at rest typically involves encryption and access controls to mitigate the risk of unauthorized access or data breaches.
- Database A structured set of data. It's a collection of schemas, tables, queries, reports, views, and other objects used to manage and organize information efficiently. Databases are essential in many environments as they provide an efficient way to store, retrieve and manipulate data, and can be protected by various security measures like encryption and access controls.
- Database Activity Monitoring (DAM)A security technology that continuously monitors, records, and analyzes database activity in real-time. DAM is used to detect and prevent unauthorized or malicious actions within databases, alerting security teams to potential threats or policy violations. This technology helps in ensuring database security, compliance with data protection regulations, and operational integrity of database environments. DAM solutions typically provide functionalities such as real-time monitoring, alert generation, transaction log analysis, and automated response mechanisms.
- Database Administrator (DBA) A professional responsible for the installation, configuration, upgrade, administration, monitoring, and maintenance of databases in an organization. The DBA ensures data availability, security, and integrity and is often involved in disaster recovery, performance analysis, and optimization, along with managing database access roles and permissions.
- Database Management System (DBMS)A software system that uses a standard method of cataloging, retrieving, and running queries on data. The DBMS manages incoming data, organizes it, and provides ways for the data to be modified or extracted by users or other programs. DBMSs are a crucial tool for handling large amounts of data across different industries and are central to the fields of databases and information systems. Examples include relational databases like MySQL, PostgreSQL, and Microsoft SQL Server, as well as NoSQL databases like MongoDB and Cassandra.
- Database ReplicationA technique that involves maintaining copies of the same database on multiple computer systems. This is done not only to ensure data availability and durability but also as a measure of resilience in the face of technical failures or data breaches. If one server or database is compromised, operations can continue unaffected using the replicated databases, minimizing disruption and data loss.
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