Semantic DLP Engineer

Their responsibilities typically include:

• Designing policies to prevent sensitive data from leaving the organization.
• Configuring AI-powered DLP systems that understand document context.
• Classifying sensitive documents using semantic analysis.
• Protecting data in:
  • Email
  • Cloud storage (e.g., Microsoft SharePoint, OneDrive, Google Drive)
  • Endpoints
  • Collaboration tools (e.g., Microsoft Teams, Slack)
  • AI applications
• Reducing false positives by using contextual understanding instead of keyword matching.
• Working with compliance teams on regulations such as:
  • GDPR
  • HIPAA
  • PCI DSS
  • Saudi PDPL