Next-Gen Data Loss Prevention
AI-Powered Sensitive Data Security
Block sensitive data leaks in real-time with 3-stage hybrid detection: Pattern Matching → ML NER → LLM Verification. Detect 30+ PII types including SSN, credit cards, and medical info within 500ms, taking optimal actions: BLOCK, REDACT, QUARANTINE, or ALLOW.
Core Values
3-Stage Hybrid Detection
Quick filtering with Pattern Matching (Stage 1), context understanding with ML NER (Stage 2), and final verification with LLM (Stage 3). Maximize accuracy while minimizing false positives.
Real-time Inspection (<500ms)
Inspect all data transfers in real-time without disrupting user experience. Average response time of 200ms doesn't affect workflow.
30+ PII Types Detection
Automatically identify 30+ sensitive data types including SSN, passport, credit cards, bank accounts, medical info, IP addresses, and emails.
Multiple Blocking Actions
Flexible responses for different situations: BLOCK (complete block), REDACT (masking), QUARANTINE (isolate for review), ALLOW (permit).
Key Features
Pattern Matching Engine (Stage 1)
High-speed regex-based pattern matching instantly detects obvious sensitive data.
- SSN: 13-digit format + checksum verification
- Credit cards: Luhn algorithm verification
- Bank accounts: Bank-specific format verification
- Custom pattern addition supported
ML NER Model (Stage 2)
Deep learning Named Entity Recognition (NER) understands context and classifies sensitive data.
- Pre-trained BERT-based model
- Korean-specialized training data
- Real-time inference optimization (ONNX)
- Continuous learning for improved accuracy
LLM Verification (Stage 3)
Large Language Models perform final verification to minimize false positives.
- Context-based sensitivity assessment
- Unstructured data analysis
- Natural language explanation generation
- Edge case handling
Real-time Monitoring
Monitor all data flows in real-time and visualize threats.
- Real-time dashboard
- Threat trend analysis
- Per-department/user statistics
- Alerts and escalation
Audit & Reporting
Record all detection and blocking activities and generate compliance reports.
- Detailed audit logs
- PIPA (Korea) compliance reports
- Incident timeline tracking
- Export (PDF, CSV, API)
Multiple Channel Support
Protect various data channels including email, messenger, cloud storage, and APIs.
- Email: Exchange, Gmail, SMTP
- Messenger: Slack, Teams, Kakao Work
- Cloud: S3, GCS, Azure Blob
- API: REST, GraphQL gateway
Use Cases
Insider Threat Prevention
Detect and block employee attempts to leak sensitive customer data or corporate secrets in real-time.
Regulatory Compliance
Automatically apply data protection policies for PIPA (Korea) and other regulatory compliance.
AI Service Data Protection
Automatically inspect and mask to prevent sensitive data from being included in prompts when using AI services like ChatGPT and Claude.
Cloud Data Security
Inspect files uploaded to cloud storage for sensitive data, encrypting or blocking according to policy.
Technical Specifications
Let AI Protect Your Sensitive Data
Start real-time sensitive data detection and blocking with AI DLP.