What is Data Loss Prevention?
Data Loss Prevention — Data Loss Prevention (DLP) is a set of tools and policies designed to detect and prevent the unauthorised transmission, sharing, or exfiltration of sensitive data outside an organisation's boundaries.
Data Loss Prevention Explained in Detail
DLP solutions monitor data in three states: data at rest (stored in databases, file shares), data in motion (traversing networks), and data in use (being accessed by applications or users).
How DLP Works
- Content inspection — Scanning files and messages for sensitive patterns (credit card numbers, PII, source code).
- Context analysis — Evaluating who is sending data, to where, and via which channel.
- Policy enforcement — Blocking, quarantining, or encrypting sensitive data based on rules.
Why DLP Matters
Regulatory frameworks like GDPR, HIPAA, and PCI DSS require organisations to protect sensitive data. DLP provides both prevention and auditable evidence of compliance.
How Hunto AI Helps with Data Loss Prevention
Explore the autonomous AI agents that address data loss prevention challenges.