MyDLP is free and open source data loss prevention software. It can be installed on both network servers and workstations. Supported data inspection channels include web, mail, im, file transfer to removable storage devices and printers. MyDLP development project has made its source code available under the terms of the GNU General Public License.
MyDLP is one of the first free software projects for data loss prevention.
In May 2014, it was indicated on the MyDLP web site that the Comodo Group had acquired the popular open source data loss prevention system. Comodo has begun marketing the Enterprise version through its Comodo Security Solutions subsidiary. No announcement has been made regarding the status of the Open Source project.
Video MyDLP
Subprojects
As of October 2010, MyDLP include the following subprojects:
- MyDLP Network: Network server of the project, which is used for high load network operations such as intercepting TCP connections and hosting MyDLP network services.
- MyDLP Endpoint: Remote agent of the project, which runs on endpoint machines in order to inspect end user operations such as copying a file to an external device, printing a document and capturing screenshots.
- MyDLP Web UI: Management interface for system administrators to configure MyDLP. It pushes relevant parts of system configuration to both MyDLP Network and MyDLP Endpoint.
Maps MyDLP
Platforms and interfaces
MyDLP Network is mostly written in Erlang, because of its performance on concurrent network operations. Python is also used for a few exceptional cases, too. This subsystem could run on any platform that supports Erlang and Python.
MyDLP Endpoint is developed for Windows platforms, and it is written in C++, C#.
MyDLP Web UI is written in PHP and Adobe Flex. It uses MySQL in order to store user configurations.
Features
As of October 2010, MyDLP includes widespread data loss prevention features such as text extraction from binary formats, incident management queue, source code detection and data identification methods for bank account, credit card and several national identification numbers. Besided, features like data classification through statistical analysis of trained sentences and native language processor integrated Naive Bayes classifier are claimed to be inspiring.
References
External links
- mydlp.com
- MyDLP Blog
- MyDLP Forum
- MyDLP GitHub Page
- MyDLP Wiki
Source of the article : Wikipedia
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