EMASS AI PLUS collects and logs all inbound and outbound network communications to detect abnormal behaviors, dangerous keywords, personal information, and potential internal data leakage risks.
It also stores all network packets and analyzes them to identify suspicious activities and high-risk traffic.
Furthermore, it can detect data leaks originating from generative AI services, enabling precise behavior analysis and policy-based responses.

■ Key Product Features
 1) AI-Based Analysis
  • Instantly detects additional leakages by suggesting similar documents using text vectorization, attachment     
    content analysis, and natural language processing(NLP).
  • Provides insight into user interest trends—such as search behavior—through keyword logging and analysis.
  • Delivers customized analysis using LLM-based foundation models, including service and URL analysis,
    keyword extraction, and content summarization.

 2) Content/Session Search & Inspection
  • Search content and keywords from logged-in services such as email, messaging, SNS, collaboration tools, and
    Generative AI platforms.
  • Search packet information(Header, Payload) and download original files.
  • Integrated search engine for fast querying.
  • Supports multi-condition and advanced query-based search.

 3) Data Optimization
  • Allows exclusion of unnecessary log data to minimize monitoring resource usage.

 4) Dashboard
  • Visualizes the status of data collection, personal information leakage, and abnormal behavior.
  • Displays key metrics: amount of collected data, personal information count, top 10 sent attachments, real-
    time network status, and more.

 5) Data Relationship Analysis
  • Visual tracking of data leakage paths through analysis of external data transmission relationships.

 6) Regular Expression Templates
  • Enables the creation of templates for identifying sensitive data patterns(e.g., customer IDs, phone numbers,
    addresses) to support automated detection.