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DLP (Data Loss Prevention)
Definition
Data Loss Prevention (DLP) is a set of tools and processes that prevent sensitive data from leaving the organization without authorization. DLP monitors and blocks data leakage via email, USB, cloud, and more.
Data Loss Prevention (DLP) is a set of technologies and processes that prevent sensitive data from leaving the organisation without authorisation. According to Gartner, 90% of organisations that have experienced a data breach subsequently implement DLP measures that could have prevented the incident.
How does DLP work?
DLP solutions monitor, detect and block the distribution of sensitive data through three channels. Network DLP inspects network traffic for sensitive data leaving the organisation via email, web traffic, file transfer or cloud applications. Endpoint DLP controls activities on workstations and laptops: copy actions to USB drives, print jobs, screenshots and clipboard actions. Cloud DLP protects data in SaaS applications and cloud storage by applying policies to file sharing and downloading. DLP solutions classify data based on sensitivity using pattern recognition, machine learning and data classification labels.
Types of sensitive data DLP protects
Personal data such as national ID numbers, identity documents and medical records (GDPR-protected). Financial data including credit card numbers (PCI DSS) and banking details. Intellectual property such as source code, designs and research data. Confidential business information including strategic plans, customer lists and pricing information.
Impact on organisations
Data loss can lead to enormous financial damage, reputational harm and legal consequences. GDPR requires appropriate technical measures for protecting personal data, explicitly naming DLP. NIS2 requires measures to ensure data confidentiality. ISO 27001 sets requirements for information classification and protection. Insider threats, both malicious and accidental, account for a significant portion of all data breaches. Without DLP, organisations lack visibility into how sensitive data flows through the organisation.
Protection
Implement DLP in three phases: discovery (where is sensitive data?), classification (how sensitive is it?) and protection (what policies apply?). Combine DLP with data classification for accurate policy application. Integrate DLP with SIEM for centralised risk overview. Train employees in safe handling of sensitive data.
How DEFION helps
DEFION evaluates sensitive data protection as part of Security Assessments. Pentests test whether sensitive data can be accessed or exfiltrated without authorisation. The advisory team assists in establishing effective data classification and DLP policies.