Data Loss Prevention (DLP) is a broad term that at its highest level can cover many types of security solutions.
A DLP solution may use a combination of standard cybersecurity measures, such as edge protection, endpoint protection tools, monitoring services and antivirus to prevent data breaches, detect anomalous activity and contextualize activities.
Field Effect does check off:
- Prevention: Real-time review of data streams and immediately restriction of suspicious activity or unauthorized users
- Detection: Identification of anomalous activity through data visibility and monitoring
- Response: Incident response activities by tracking and reporting data access and movement across the enterprise
- Analysis: Contextualized activities reported to strengthen prevention measures or inform remediation activities
Some DLP requirements may use language that would require a more specialized DLP solution. For example, allowing the categorization, classification and tagging of data, enforcing the encryption of data at rest or enable content analysis to assess the sensitivity of data would be beyond this general definition.
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