![]() 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. Identify sensitive information across multiple on-premises and cloud-based systems.It is also used to help organizations with data security and ensure they comply with regulations like the California Consumer Privacy Act (CCPA), EU General Data Protection Regulation (GDPR), and Health Insurance Portability and Accountability Act (HIPAA).The terms "data loss" and "data leakage prevention" are often used interchangeably, but DLP security enables organizations to defend themselves against both. Since it blocks extraction of sensitive data, organizations use it for internal security and regulatory compliance.ĭLP enables businesses to detect data loss, as well as prevent the illicit transfer of data outside the organization and the unwanted destruction of sensitive or personally identifiable data (PII). ![]() DLP, or Data Loss Prevention, is a cybersecurity solution that detects and prevents data breaches. ![]()
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