![]() It also provides reports that enables businesses to meet compliance and auditing requirements, as well as identify areas of weakness. When a violation is discovered, DLP remediates it by sending alerts, encrypting data, and other actions that prevent users from accidentally or maliciously sharing sensitive information. ![]() ![]() It also looks for the existence of keywords like "VISA" or "AMEX" in proximity to dates that could be an expiration date to decide whether sensitive information is at risk. So DLP performs a checksum calculation to confirm whether the numbers match the patterns of various brands. This analyzes content for common patterns, such as 16-digit card numbers or nine-digit Social Security numbers, alongside indicators like the proximity of certain keywords.įor example, a Visa card has 16 digits, but not every 16-digit number will be a credit card number. It is therefore important to have security measures in place to prevent cybercriminals from gaining access to it.ĭLP uses several methods to detect sensitive data, but the most common is regular expression pattern. Data at rest is considered less vulnerable than data in motion, but it can be considered a more valuable target by hackers. Data at rest: This is data that is not actively moving between devices or networks and is archived or stored on a device or hard drive.This includes information that is stored or processed in databases, CPUs, or RAM, such as a user requesting access to transaction history in their online banking account. Data in use: Data that is currently being accessed, erased, processed, updated, or read by a system is considered in use. ![]() Data can often be less secure while in motion, so it is vital to have effective data protection measures in place. Data in motion: Also referred to as data in transit, this is data that is actively moving from one location to another, either over the internet, between networks, from a local storage device to the cloud, or through a private network. ![]() Businesses need to monitor user activity and protect confidential data when it is at rest, in use, and in motion. Simply having a DLP solution in place is not enough to keep attackers at bay.
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