Data loss prevention software
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Data loss prevention (DLP) software detects potential data breaches/data ex-filtration transmissions and prevents them by monitoring, detecting and blocking sensitive data while ''in use'' (endpoint actions), ''in motion'' (network traffic), and ''at rest'' (data storage). The terms " data loss" and "
data leak A data breach is a security violation, in which sensitive, protected or confidential data is copied, transmitted, viewed, stolen or used by an individual unauthorized to do so. Other terms are unintentional information disclosure, data leak, inf ...
" are related and are often used interchangeably.Asaf Shabtai, Yuval Elovici, Lior Rokach,
A Survey of Data Leakage Detection and Prevention Solutions
Springer-Verlag New York Incorporated, 2012
Data loss incidents turn into data leak incidents in cases where media containing sensitive information is lost and subsequently acquired by an unauthorized party. However, a data leak is possible without losing the data on the originating side. Other terms associated with data leakage prevention are information leak detection and prevention (ILDP), information leak prevention (ILP), content monitoring and filtering (CMF), information protection and control (IPC) and extrusion prevention system (EPS), as opposed to intrusion prevention system.


Categories

The
technological Technology is the application of knowledge to reach practical goals in a specifiable and reproducible way. The word ''technology'' may also mean the product of such an endeavor. The use of technology is widely prevalent in medicine, science, ...
means
employed Employment is a relationship between two parties regulating the provision of paid labour services. Usually based on a contract, one party, the employer, which might be a corporation, a not-for-profit organization, a co-operative, or any oth ...
for dealing with data leakage incidents can be divided into categories: standard security measures, advanced/intelligent security measures, access control and encryption and designated DLP systems, although only the latter category are currently thought of as DLP today.Phua, C.
Protecting organisations from personal data breaches
Computer Fraud and Security, 1:13-18, 2009


Standard measures

Standard security measures, such as firewalls,
intrusion detection systems An intrusion detection system (IDS; also intrusion prevention system or IPS) is a device or software application that monitors a network or systems for malicious activity or policy violations. Any intrusion activity or violation is typically rep ...
(IDSs) and
antivirus software Antivirus software (abbreviated to AV software), also known as anti-malware, is a computer program used to prevent, detect, and remove malware. Antivirus software was originally developed to detect and remove computer viruses, hence the name. ...
, are commonly available products that guard computers against outsider and insider attacks. The use of a firewall, for example, prevents the access of outsiders to the internal network and an intrusion detection system detects intrusion attempts by outsiders. Inside attacks can be averted through antivirus scans that detect
Trojan horses The Trojan Horse was a wooden horse said to have been used by the Greeks during the Trojan War to enter the city of Troy and win the war. The Trojan Horse is not mentioned in Homer's ''Iliad'', with the poem ending before the war is concluded, ...
that send confidential information, and by the use of thin clients that operate in a client-server architecture with no personal or sensitive data stored on a client device.


Advanced measures

Advanced security measures employ
machine learning Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine ...
and temporal reasoning algorithms to detect abnormal access to data (e.g., databases or information retrieval systems) or abnormal email exchange, honeypots for detecting authorized personnel with malicious intentions and activity-based verification (e.g., recognition of keystroke dynamics) and user activity monitoring for detecting abnormal data access.


Designated DLP systems

Designated systems detect and prevent unauthorized attempts to copy or send sensitive data, intentionally or unintentionally, mainly by personnel who are authorized to access the sensitive information. In order to classify certain information as sensitive, these use mechanisms, such as exact data matching, structured data fingerprinting, statistical methods, rule and
regular expression A regular expression (shortened as regex or regexp; sometimes referred to as rational expression) is a sequence of characters that specifies a search pattern in text. Usually such patterns are used by string-searching algorithms for "find" ...
matching, published lexicons, conceptual definitions, keywords and contextual information such as the source of the data.Ouellet, E., Magic Quadrant for Content-Aware Data Loss Prevention, Technical Report, RA4 06242010, Gartner RAS Core Research, 2012


Types


Network

Network (data in motion) technology is typically installed at network egress points near the perimeter. It analyzes network traffic to detect sensitive data that is being sent in violation of information security policies. Multiple security control points may report activity to be analyzed by a central management server.


Endpoint

Endpoint (data in use) systems run on internal end-user workstations or servers. Like network-based systems, endpoint-based technology can address internal as well as external communications. It can therefore be used to control information flow between groups or types of users (e.g. ' Chinese walls'). They can also control email and Instant Messaging communications before they reach the corporate archive, such that a blocked communication (i.e., one that was never sent, and therefore not subject to retention rules) will not be identified in a subsequent legal discovery situation. Endpoint systems have the advantage that they can monitor and control access to physical devices (such as mobile devices with data storage capabilities) and in some cases can access information before it is encrypted. Endpoint systems also have access to the information needed to provide contextual classification; for example the source or author generating content. Some endpoint-based systems provide application controls to block attempted transmissions of confidential information and provide immediate user feedback. They must be installed on every workstation in the network (typically via a DLP Agent), cannot be used on mobile devices (e.g., cell phones and PDAs) or where they cannot be practically installed (for example on a workstation in an
Internet café An Internet café, also known as a cybercafé, is a café (or a convenience store or a fully dedicated Internet access business) that provides the use of computers with high bandwidth Internet access on the payment of a fee. Usage is generall ...
).


Cloud

The cloud now contains a lot of critical data as organizations transform to cloud-native technologies to accelerate virtual team collaboration. The data floating in the cloud needs to be protected as well since they are susceptible to cyberattacks, accidental leakage and insider threats. Cloud DLP monitors and audits the data, while providing access and usage control of data using policies. It establishes greater end-to-end visibility for all the data stored in the cloud.


Data identification

DLP includes techniques for identifying confidential or sensitive information. Sometimes confused with discovery, data identification is a process by which organizations use a DLP technology to determine what to look for. Data is classified as either structured or unstructured. Structured data resides in fixed fields within a file such as a spreadsheet, while
unstructured data Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, num ...
refers to free-form text or media in text documents, PDF files and video. An estimated 80% of all data is unstructured and 20% structured.Brian E. Burke, “Information Protection and Control survey: Data Loss Prevention and Encryption trends,” IDC, May 2008


Data loss protection (DLP)

Sometimes a data distributor inadvertently or advertently gives sensitive data to one or more third parties, or uses it themselves in an authorized fashion. Sometime later, some of the data is found in an unauthorized place (e.g., on the web or on a user's laptop). The distributor must then investigate the source of the loss.


Data at rest

" Data at rest" specifically refers to information that is not moving, i.e. that exists in a database or a file share. This information is of great concern to businesses and government institutions simply because the longer data is left unused in storage, the more likely it might be retrieved by unauthorized individuals. Protecting such data involves methods such as access control, data encryption and
data retention Data retention defines the policies of persistent data and records management for meeting legal and business data archival requirements. Although sometimes interchangeable, it is not to be confused with the Data Protection Act 1998. The different ...
policies.


Data in use

"
Data in use Data in use is an information technology term referring to active data which is stored in a non-persistent digital state typically in computer random-access memory (RAM), CPU caches, or CPU registers. Scranton, PA data scientist Daniel Allen in 19 ...
" refers to data that the user is currently interacting with. DLP systems that protect data in-use may monitor and flag unauthorized activities. These activities include screen-capture, copy/paste, print and fax operations involving sensitive data. It can be intentional or unintentional attempts to transmit sensitive data over communication channels.


Data in motion

" Data in motion" is data that is traversing through a network to an endpoint. Networks can be internal or external. DLP systems that protect data in-motion monitor sensitive data traveling across a network through various communication channels.


See also

* List of backup software * Metadata removal tool *
Endpoint detection and response Endpoint detection and response (EDR), also known as endpoint threat detection and response (ETDR), is a cybersecurity technology that continually monitors an "endpoint" (e.g. mobile phone, laptop, Internet-of-Things device) to mitigate malicious ...
* Endpoint security


References

{{Malware Data security Information technology Data management software