Symantec Data Loss Prevention

From data fingerprinting to machine learning, Symantec DLP accurately finds sensitive data in whatever guise it takes

Symantec DLP utilizes a combination of advanced technologies to accurately detect confidential data —whether it's at rest or in motion – and includes a variety of out-of-the-box policies (HIPAA, GDPR, PCI DSS, etc.) to help enable compliance with lower effort.

• Vector Machine Learning (VML) learns and identifies intellectual property and other unstructured data that may difficult to describe such as financial documents, source code, etc.
• Sensitive Image Recognition (SIR) detects sensitive data embedded in forms and other images (scanned documents, screenshots and pictures) with built-in Optical Character Recognition (OCR)
• Exact Data Matching (EDM) identifies sensitive data by fingerprinting structured databases, e.g., "any customer name and their bank account number"
• Indexed Document Matching (IDM) applies fingerprinting to documents to detect sensitive content that may be partially reused elsewhere, e.g., in an email message
• Described Content Matching (DCM) looks for matches on regular expressions or patterns such as Social Security Number and credit card
• Data Classification enables users to classify sensitive files and allows to protect them based on sensitivity by leveraging Symantec Information Centric Tagging (ICT)