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Data Loss Prevention

Data Loss Prevention

Last updated , generated by Sumble
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What is Data Loss Prevention?

Data Loss Prevention (DLP) is a set of procedures and techniques designed to detect and prevent sensitive data from leaving an organization's control. DLP solutions typically involve identifying sensitive data, monitoring data in use (endpoint actions), data in motion (network traffic), and data at rest (storage), and then applying policies to prevent unauthorized disclosure, transmission, or loss of that data. Common uses include protecting personally identifiable information (PII), financial data, intellectual property, and ensuring compliance with regulations such as GDPR, HIPAA, and PCI DSS.

What other technologies are related to Data Loss Prevention?

Data Loss Prevention Complementary Technologies

Security audits help identify vulnerabilities and compliance gaps that DLP solutions can then address.
mentioned alongside Data Loss Prevention in 49% (269) of relevant job posts
FIM solutions ensure that critical files are not tampered with, which complements DLP's data protection efforts.
mentioned alongside Data Loss Prevention in 39% (294) of relevant job posts
Insider Risk Management focuses on identifying and mitigating risks from within the organization, complementing DLP's focus on preventing data exfiltration.
mentioned alongside Data Loss Prevention in 50% (220) of relevant job posts

Which job functions mention Data Loss Prevention?

Job function
Jobs mentioning Data Loss Prevention
Orgs mentioning Data Loss Prevention

Which organizations are mentioning Data Loss Prevention?

Organization
Industry
Matching Teams
Matching People
Data Loss Prevention
Microsoft
Scientific and Technical Services

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