Data Loss Prevention (DLP) is a computer security term referring to systems that identify, monitor, and protect data in use (e.g. endpoint actions), data in motion (e.g. network actions), and data at rest (e.g. data storage) through deep content inspection, contextual security analysis of transaction (attributes of originator, data object, medium, timing, recipient/destination and so on) and with a centralized management framework. Systems are designed to detect and prevent unauthorized use and transmission of confidential information Vendors refer to the term as Data Leak Prevention, Information Leak Detection and Prevention (ILDP), Information Leak Prevention (ILP), Content Monitoring and Filtering (CMF), Information Protection and Control (IPC) or Extrusion Prevention System by analogy to Intrusion-prevention system. This book is your ultimate resource for Data Loss Prevention (DLP). Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Loss Prevention (DLP) right away, covering: Data loss prevention software, Computer security, Portal: Computer security, 2009 Sidekick data loss, AAFID, Absolute Manage, Accelops, Acceptable use policy, Access token, Advanced Persistent Threat, Air gap (networking), Ambient authority, Anomaly-based intrusion detection system, Application firewall, Application security, Asset (computer security), Attack (computer), AutoRun, Blacklist (computing), Blue Cube Security, BlueHat, Centurion guard, Client honeypot, Cloud computing security, Collaboration-oriented architecture, Committee on National Security Systems, Computer Law and Security Report, Computer security compromised by hardware failure, Computer security incident management, Computer security model, Computer surveillance, Confused deputy problem, Countermeasure (computer), CPU modes, Crackme, Cross-site printing,
