Identifying sensitive information within unstructured data, such as emails and documents, is particularly challenging as DLP systems often generate excessive false alerts. Symantec Data Loss Prevention (DLP) is designed to help organizations identify, monitor, and protect sensitive information within both structured and unstructured data environments.

Utilizing contextual analysis technologies you can identify and classify sensitive data within unstructured formats like emails, documents, PDFs, and images. The system improves accuracy by analyzing the context in which data appears, reducing false positives by examining surrounding text, metadata, and other contextual clues. Further you need to include Exact Data Matching (EDM) techniques, which matches specific data patterns against a database of known sensitive information, and Described Content Matching (DCM), which uses patterns and rules to detect data based on regular expressions and keywords.
Additionally, Symantec DLP features Optical Character Recognition (OCR) technology, which extracts and analyzes text from image files, scanned documents, and screenshots, ensuring that sensitive information embedded in images is detected and protected.

Symantec DLP offers its advanced content detection technologies, contextual analysis, machine learning capabilities, and seamless integration with other security tools to make its offering an effective solution for preventing data leaks while minimizing false alerts.