DLP is a set of tools and processes that detect and prevent unauthorized transmission, sharing, or exfiltration of sensitive personal data outside the organization.
Source: IQWorks Glossary — iqworks.ai | Last updated: 2026-02-01
Last verified: February 1, 2026
Data Loss Prevention (DLP) encompasses technologies and processes designed to detect and prevent the unauthorized transfer of sensitive data outside organizational boundaries. DLP systems monitor data in use (endpoint), data in motion (network), and data at rest (storage) to identify and block potential data leaks.
DLP is a key technical measure supporting compliance with privacy regulations that require appropriate security measures to protect personal data. DiscoverIQ enhances DLP effectiveness by providing accurate data classification that enables precise DLP policies—reducing false positives while ensuring sensitive personal data is properly protected.
Relevant Regulations
Frequently Asked Questions
What is Data Loss Prevention (DLP)?
DLP is a set of tools and processes that detect and prevent unauthorized transmission, sharing, or exfiltration of sensitive personal data outside the organization.
Which regulations reference Data Loss Prevention (DLP)?
Data Loss Prevention (DLP) is referenced in or relevant to: gdpr, hipaa, dpdpa.
How IQWorks Helps
Related Terms
Data Encryption
Encryption transforms readable data into an unreadable format using cryptographic algorithms, protecting confidentiality by ensuring only authorized parties with the correct key can access the data.
Data Classification
Data classification is the process of categorizing data by sensitivity level, type, and regulatory applicability to determine appropriate protection measures and handling procedures.
Access Control
Access control restricts who can view, modify, or delete data based on identity, role, and authorization policies, ensuring only authorized personnel access personal data.
Cloud Data Protection
Cloud data protection encompasses the policies, technologies, and controls used to protect personal data stored and processed in cloud computing environments.