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Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...
Data loss can also occur if the physical medium containing the data is lost or stolen. Data loss is distinguished from data unavailability, which may arise from a network outage. Although the two have substantially similar consequences for users, data unavailability is temporary, while data loss may be permanent.
Retail loss prevention (also known as retail asset protection) is a set of practices employed by retail companies to preserve profit. [1] Loss prevention is mainly found within the retail sector but also can be found within other business environments. Retail loss prevention is geared towards the elimination of preventable loss. [2]
This page was last edited on 8 April 2016, at 12:47 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...
To comply with the United States Food and Drug Administration's code FDA 21 CFR 820.100 [5] medical device companies need to establish a CAPA process [6] within their QMS. . This part of the system may be paper or digital, but it is something that is looked for during an FDA visi
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The host intrusion prevention system (HIPS) consists of a host-based firewall and application-level blocking consolidated in a single product. The HIPS component is one of the most significant components of the HBSS, as it provides for the capability to block known intrusion signatures and restrict unauthorized services and applications running ...
Fuzzy hashing, also known as similarity hashing, [1] is a technique for detecting data that is similar, but not exactly the same, as other data.This is in contrast to cryptographic hash functions, which are designed to have significantly different hashes for even minor differences.