AUTONOMOUS SECURITY

COMPANY

CAREERS

English

한국어

AUTONOMOUS SECURITY

COMPANY

CAREERS

English

한국어

Security-Optimized
LLM Integration Technology

Security- Optimized
LLM Integration Technology

No matter how accurate detection may be, the process of interpreting results and deciding on response actions has traditionally remained complex and time-consuming. ClumL solves this challenge by replacing inefficient, manual reporting with an innovative application of LLMs. By analyzing detection results from the AI Clustering Engine through LLM-powered reasoning, security teams are freed from repetitive tasks, allowing them to focus on critical analysis and respond to threats quickly and accurately

Principle and Structure

ClumL utilizes diverse large-scale and up-to-date LLMs, the most comprehensive libraries of threat intelligence, to generate reports that deliver precise and actionable insights.

  • Safeguards are built in to prevent unsupported reasoning (“hallucination”), ensuring the reliability of analysis.

  • Integration with various Threat Intelligence (TI) sources removes low-confidence elements, strengthening both detection and analytical accuracy.

Three-Stage LLM-Integrated Automated Analysis & Reporting

What happened?

What happened?

What
happened?

  • Summarizes the objective facts of the detected anomaly

  • Includes technical details such as IP addresses, affected systems, and behavioral patterns

So what?

  • Explains the security significance and potential risks of the event

  • Provides correlations with known attack patterns, related cases, and possible threat scenarios

Now what?

  • Provides concrete response recommendations

  • Distinguishes between immediate actions and areas requiring further investigation, with guidance on step-by-step response procedures

Key Features

  • AI Clustering–Based LLM Integration

    • Only detection results validated by AI clustering are passed to the LLM, delivering precise, security-context–optimized analysis.

  • Natural-Language Interpretation & Automated Reporting

    • The LLM interprets detected threats in natural language and automatically generates professional security analysis reports with actionable insights.

  • AI Clustering–Based LLM Integration

    • Only detection results validated by AI clustering are passed to the LLM, delivering precise, security-context–optimized analysis.

  • Natural-Language Interpretation & Automated Reporting

    • The LLM interprets detected threats in natural language and automatically generates professional security analysis reports with actionable insights.

  • AI Clustering–Based LLM Integration

    • Only detection results validated by AI clustering are passed to the LLM, delivering precise, security-context–optimized analysis.

  • Natural-Language Interpretation & Automated Reporting

    • The LLM interprets detected threats in natural language and automatically generates professional security analysis reports with actionable insights.