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As defined by Gartner, “DAM tools use several data collection mechanisms (such as server-based agent software and in-line or out-of-band network collectors), aggregate the data in a central location for analysis, and report based on behaviors that violate the security policies and/or signatures or indicate behavioral anomalies.
According to Gartner: [8] Extended detection and response (XDR) delivers security incident detection and automated response capabilities for security infrastructure. XDR integrates threat intelligence and telemetry data from multiple sources with security analytics to provide contextualization and correlation of security alerts.
Intelligence collection management is the process of managing and organizing the collection of intelligence from various sources. The collection department of an intelligence organization may attempt basic validation of what it collects, but is not supposed to analyze its significance.
Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]
Data collection and validation consist of four steps when it involves taking a census and seven steps when it involves sampling. [3] A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid ...
Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity. [ 2 ] This erasure is necessary as an increasing amount of data is moving to online storage, which poses a privacy risk in the situation that the device is resold to ...
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Data-centric security is an approach to security that emphasizes the dependability of the data itself rather than the security of networks, servers, or applications.Data-centric security is evolving rapidly as enterprises increasingly rely on digital information to run their business and big data projects become mainstream.