WebKeeper AI DLP

Data Loss Prevention for Confidential, Personal, and Sensitive Information in Generative AI

WebKeeper AI DLP is a unique network security solution that brings together SOMANSA’s 30 years of expertise,

purpose-built to prevent data leakage in generative AI environments.

It detects and controls personal and confidential information exposed through generative AI,

using LLM-based semantic analysis to prevent both accidental and unauthorized transmission while logging all access activity.

A standard solution for controlling confidential data leakage through generative AI, optimized for the N2SF national network security framework and

first deployed by a major Korean financial institution.

Market-Leading AI DLP for Preventing Confidential, Personal, and Sensitive Data Leakage Through Generative AI

From Invisible Shadow AI Access to Confidential Data Leakage
Complete Control of Generative AI with WebKeeper AI DLP

Built on SOMANSA’s 30 years of dedicated DLP expertise,

WebKeeper AI DLP protects your organization from personal data leakage in generative AI environments.

Experience powerful AI DLP that protects the entire lifecycle—from detection and blocking to control and post-incident audit.

30 Years

Network Security Expertise

60+

AI Services Supported

80%

Adoption Rate among Korean Financial Institutions

CORE STRENGTHS

Record Every Interaction with Generative AI
and Uncover Hidden Data Exfiltration Intent.
Use Generative AI Freely. Keep Corporate Data Secure.

From detection and blocking to audit, WebKeeper AI DLP controls every potential data leakage scenario involving generative AI.

01 Complete Visibility

Store All Inputs and Responses
Reconstruct Conversations in Chat Format

Beyond simple blocking, prompt inputs and AI responses are reconstructed in the actual chat format.

Comprehensive logging clearly shows who entered what and when, helping identify signs of data leakage.

Original transmitted files are preserved to support efficient post-incident audits and tracking.

Original Logs Preserved Chat-Style Reconstruction Complete Audit Trail

02 Precision Detection & Control

Block Images, Drawings, Blueprints, and Context-Based Content
Real-Time Blocking of File/Text Transmission

Combining Korea’s largest personal data checksum library with LLM-based contextual analysis, WebKeeper AI DLP precisely detects and blocks personal and confidential information contained in files and prompts.

It analyzes the meaning and intent of unstructured data—including sentences, paragraphs, documents, and images—to provide sophisticated data leakage controls beyond simple keyword detection.

Precision Detection Context-Based Blocking File Transfer Blocking

03 Personal Data Pattern Detection

30 Years of Network Security Expertise
Precision Detection of Personal Data Patterns in Generative AI Environments

For 30 years, SOMANSA has built security environments for public-sector, financial, and enterprise organizations, accumulating extensive expertise and technology.

Based on Korea’s largest personal data checksum library, it blocks personal data leakage through generative AI.

We extend proven security technologies to generative AI environments to provide more precise personal data leakage control.

Pattern-Based Blocking Korea’s Largest Checksum Library 80% Adoption among Korean Financial Institutions

From Input to Response
WebKeeper AI DLP Controls the Entire Flow

WebKeeper AI DLP Architecture

KEY FEATURES

What Are Your Employees
Entering into Generative AI?

WebKeeper AI DLP controls the use of generative AI across your organization and logs all prompts, responses, and transferred files.

If personal or confidential information is detected, external transmission is blocked to ensure a secure AI work environment.

ACCESS CONTROL

Policy-Based Access Control

Granular policies by department, service, and time of day
provide precise control over generative AI usage.

Department Policies

Access Permissions by Organization

Service Policies

Allow/Block by Service

Time-Based Policies

Access Control by Time of Day

CONTENT-BASED BLOCKING

Content-Based Blocking

Analyzes and blocks suspected personal or confidential data leakage in real time.

Regex

Detect Personal Identifiers, Bank Account Numbers, and Card Numbers

Keyword

Detect Restricted Terms and Confidential Keywords

Embedding Analysis

Document, Sentence, and Image Similarity Analysis

LLM Analysis

Context-Based Risk Assessment and Document Classification

AUDIT TRAIL

Unified Conversation History

Reconstruct prompts, responses, and transmission history in a chat format for an intuitive view of employees’ AI usage.

  • Records users, dates, purposes, and input/output content
  • Stores all user prompts and AI responses
  • Supports post-event audits based on transmitted file logs

AI DOCUMENT CLASSIFICATION

AI-Powered Document Category Classification

Analyzes document content and automatically classifies it into 20 major categories and around 100 subcategories,
then assigns one of three security levels based on sensitivity and risk.

Category / Subcategory Type Level
Management / Strategy
Business Plan Document High
Executive Report Document High
Research / R&D
Research Report Document High
Design Specification Drawing Medium

and more

COVERAGE & COMPLIANCE

Control a Wide Range of Generative AI Services
and Meet Key Security Standards, Including N2SF

Control 60+ generative AI services and
meet N2SF-based security requirements with a single solution.

SUPPORTED MODELS

Coverage for 60+ Generative AI Services

Supports more than 60 generative AI services, including ChatGPT, Claude, and Gemini.

Control both major and newly emerging AI services, with coverage continuously expanding.

ChatGPT

Gemini

Copilot

Cursor

Grok

Perplexity

Deepseek

Claude

Wrtn

Clova X

ChatPDF

BingChat AI

Notion AI

Github Copilot

Canva AI

COMPLIANCE

Meet N2SF-Based Generative AI Security Requirements

A solution that meets the National Network Security Framework (N2SF) guidelines established by Korean government agencies.

In line with the N2SF policy rollout, SOMANSA has proactively deployed the solution across government and public-sector organizations, establishing stable operating environments.

Application Area Key Security Requirements Technical Safeguards
Business Endpoint Environment Endpoint Network Security AI DLP, Endpoint DLP, VDI, SWG
AI-Integrated System Environment User and Device Authentication for Generative AI Services AI DLP, Account Management System
AI-Integrated System Environment Data Protection When Using Generative AI AI DLP (Real-time blocking of personal data transmission, audit logs retaining original transmitted files)
Internet Environment Data Management for Generative AI Usage Audit Logging and Monitoring for Generative AI Services

REFERENCES

Key References

For 30 years, SOMANSA has led the fields of internet access control and customer data leakage detection, backed by accumulated security expertise and R&D capabilities.

Chosen by more than 50 customers in Korea and abroad, including the National Tax Service, Board of Audit and Inspection, LG U+, KakaoBank, and major financial institutions, SOMANSA delivers security architectures optimized for each customer’s environment based on extensive deployment experience.

GET STARTED

For the Safest Generative AI Adoption,
Start with SOMANSA.

Frequently Asked Questions

We’ve compiled the questions most frequently asked before deploying WebKeeper AI DLP.

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