What is 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. Without DLP, a single misconfigured cloud bucket or an insider threat can expose thousands of records: resulting in fines, reputational damage, and breach notification obligations.
Types of DLP Solutions
- Endpoint DLP: Monitors activity on laptops, desktops, and mobile devices.
- Network DLP: Inspects traffic leaving the corporate network via email, web, or FTP.
- Cloud DLP: Protects data stored in SaaS platforms, IaaS buckets, and PaaS environments.
- Email DLP: Prevents sensitive attachments and content from being sent externally.
How Hunto AI Helps with Data Loss Prevention
Explore the autonomous AI agents that address data loss prevention challenges.