Los Angeles Data Loss Prevention Services –
Data loss prevention (DLP) software identifies and prevents potential data breaches/exfiltration transmissions by monitoring, detecting, and blocking sensitive data while it is in use (endpoint actions), in transit (network traffic), and at rest (data storage).
The terms “data loss” and “data leak” are synonymous and frequently used in the same context. When media containing sensitive information is lost and subsequently acquired by an unauthorized party, data loss incidents become data leak incidents. However, a data leak is possible even if the originating side does not lose the data.
Additionally, data leakage prevention is referred to as 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 (IPS).
The technological tools used to address data leakage incidents are classified as follows: standard security measures, advanced/intelligent security measures, access control and encryption, and designated data leakage prevention systems, although only the latter category is currently considered DLP.
Standard security measures, such as firewalls, intrusion detection systems (IDSs), and antivirus software, protect computers from both external and internal attacks. For example, the use of a firewall prevents outsiders from accessing the internal network, while an intrusion detection system detects outsider intrusion attempts.
Internal attacks can be avoided by employing antivirus software that detects Trojan horses that send confidential data and by utilizing thin clients that operate in a client-server architecture and do not store personal or sensitive data on the client device.
Measures of Sophistication
Advanced security measures employ machine learning and temporal reasoning algorithms to detect abnormal data access (e.g., databases or information retrieval systems) or email exchange, honeypots to detect authorized personnel with malicious intent, and activity-based verification (e.g., keystroke dynamics recognition) and user activity monitoring to detect abnormal data access.
Designated systems detect and prevent unauthorized attempts to copy or send sensitive data, either intentionally or unintentionally, primarily by authorized personnel. These use mechanisms such as exact data matching, structured data fingerprinting, statistical methods, rule and regular expression matching, published lexicons, conceptual definitions, keywords, and contextual information such as the source of the data to classify certain information as sensitive. Contact us immediately for additional information.