Data Loss Prevention (DLP) Insights

What is Data Loss Prevention (DLP)?

Data Loss Prevention (DLP) refers to a set of technologies and processes used to detect and prevent sensitive data from leaving an organization's control. DLP solutions typically involve identifying, monitoring, and protecting data in use, in motion, and at rest to prevent unauthorized access, transmission, or disclosure. Common use cases include preventing accidental data leaks, complying with data privacy regulations, and protecting intellectual property.

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What other technologies are related to Data Loss Prevention (DLP)?

Data Loss Prevention (DLP) Complementary Technologies

Attack Protection

Attack protection technologies can provide valuable context and threat intelligence that enhances DLP's ability to identify and prevent data breaches.

mentioned alongside Data Loss Prevention (DLP) in 95% (86) of relevant job posts

shadow IT monitoring

Shadow IT monitoring tools discover unauthorized cloud applications and services in use, which is critical for extending DLP policies to cover all potential data leakage points.

mentioned alongside Data Loss Prevention (DLP) in 95% (84) of relevant job posts

vulnerability or risk assessments

Vulnerability assessments identify weaknesses in systems that could be exploited to exfiltrate data, making them complementary to DLP. Risk assessments help prioritize DLP efforts.

mentioned alongside Data Loss Prevention (DLP) in 95% (84) of relevant job posts