Data Loss Prevention (DLP) is a technology that prevents data leaks, whether caused by external attacks or Inside Threats. The solution operates across multiple levels: network, endpoints, cloud services, communication applications, and more.
Effective protection requires knowing which data is sensitive, where it is stored, how it flows and whether it is encrypted.
Artificial intelligence is a key component of DLP, evaluating whether an activity constitutes a security incident or simply a deviation from standard user behavior.
Key features
- Automated monitoring and control of sensitive data flows
- Integration across network, endpoints, cloud, and communication apps
- Encryption and access rights management
- Advanced data classification and behavioral analytics
- Security incident reporting and auditing
Main benefits
- Prevention of data leaks and reduction of insider threat risks
- Improved visibility of sensitive data and its flow
- Automated detection of security incidents
- Support for regulatory compliance and internal security policies
Core components of DLP solutions include:
- DLP and CASB platforms
- Data classification and rights management
- SSL inspection, OCR, and Data Fingerprinting
- Behavioral Analytics and Deep Forensics
- Volumetric Scoring and Polymorphic Analysis
- Session Recording, Key Logging, PAM, CIAM
- Cryptography and cloud service protection
