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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-loss-prevention-dlp-in-the-enterprise/
课程评论：没有评论
课程名称：现代企业中的数据丢失防护（DLP） 课程概述：欢迎参加现代企业中的数据丢失防护（DLP）课程！本课程全面涵盖数据丢失防护的主要概念，并解释现代组织成功实施数据丢失防护项目所需的各项因素。 课程内容包括： - 数据丢失事件 - 敏感数据类型 - 数据格式与传输渠道 - 敏感数据检测方法 - DLP 部署类型 - DLP 解决方案类型 - 数据丢失的商业风险 - DLP 主要是一个过程 - 数据安全政策 - DLP 选择流程 - DLP 组织结构（人员结构） - DLP 高级流程 此外，本课程还将介绍正则表达式的基本概念，以及如何利用正则表达式进行模式匹配，处理几乎任何类型的文本数据。正则表达式部分的内容包括： - 基本概念 - 元字符及其使用 - 挑战与实战 - 旨在提升您正则表达式技能的实践挑战，包含解决方案的详细解析，示例包括表格分隔格式、JSON 和 XML 等不同类型的数据。 通过本课程，学员将能够自信地创建自己的正则表达式！ 课程主题背景： 数据丢失防护（DLP）是指通过对数据进行内容检查和上下文分析来防止敏感数据意外泄露的技术。这些技术能够对通过消息应用（如电子邮件和即时消息）发送的数据、在网络上的流动数据、在管理端点设备上使用的数据以及存储在本地服务器或云应用中的数据进行监控。DLP 解决方案通常分为企业 DLP 和集成 DLP 两大类，前者为全面的解决方案，后者则局限于特定的安全网关和数据分类等工具。 正则表达式（regex）是一种强大的文本字符串搜索和操作工具，适用于各种编程语言和文本处理工具，其学习曲线虽然有些陡峭，但值得投入时间去掌握。 祝您学习愉快，马到成功！
Welcome to the Data Loss Prevention (DLP) in the Enterprise Course! The course comprehensively covers the main concepts in Data Loss Prevention and explains the factors required for modern organizations to successfully implement a Data Loss Prevention Program.Topics Covered:Data Loss IncidentsTypes of Sensitive DataData Formats and Transfer ChannelsSensitive Data Detection MethodsDLP Deployment TypesDLP Solution TypesData Loss is a Business RiskDLP is primarily a ProcessData Security PolicyDLP Selection ProcessDLP Organization Structure (People Structure)DLP High Level ProcessesAdditionally, this course explains the basic concepts of regular expressions and how they could be used for pattern matching to match almost any kind of textual data.The Regex sessions are structured as below:Basic Concepts - Metacharacters and their usage.Challenges and Walkthrough - Practical Challenges for you to attempt your skills at Regular Expressions. Detailed walk through of solution. Examples include different kinds of data in table delimited format, json and xml.By the end of the course, you would be confident to create your own regular expressions!Happy Learning and All the Best!--- Topic Background: What is DLP?Data loss prevention (DLP), is defined as technologies which perform both content inspection and contextual analysis of data sent via messaging applications such as email and instant messaging, in motion over the network, in use on a managed endpoint device, and at rest in on-premises file servers or in cloud applications and cloud storage. These solutions execute responses based on policy and rules defined to address the risk of inadvertent or accidental leaks or exposure of sensitive data outside authorized channels.DLP technologies are broadly divided into two categories - Enterprise DLP and Integrated DLP. While Enterprise DLP solutions are comprehensive and packaged in agent software for desktops and servers, physical and virtual appliances for monitoring networks and email traffic, or soft appliances for data discovery, Integrated DLP is limited to secure web gateways, secure email gateways, email encryption products, enterprise content management platforms, data classification tools, data discovery tools, and cloud access security brokers.What are Regular Expressions?Regular Expression, or regex or regexp in short, is extremely and amazingly powerful in searching and manipulating text strings, particularly in processing text files. One line of regex can easily replace several dozen lines of programming codes.Regex is supported in all the scripting languages (such as Perl, Python, PHP, and JavaScript); as well as general purpose programming languages such as Java; and even word processors such as Word for searching texts. Getting started with regex may not be easy due to its geeky syntax, but it is certainly worth the investment of your time.Regular expression synax varies slightly between languages but for the most part the details are the same. Some regex implementations support slightly different variations on how they process as well as what certain special character sequences mean.
