AI BriefingLINE Plus Security R&D details SAGE AI platform for human-in-the-loop security operations
·2026.10.23 13:28
Key point
The platform uses a three-stage adoption process to reduce response time and consistency variance in security consultations and operations.
Details
- LINE Plus Security R&D developed SAGE, an AI agent platform for security work, adopting a human-in-the-loop strategy to balance AI efficiency with human accountability.
- The system is currently in Stage 1, focusing on automating initial data organization and evidence collection while humans retain final judgment on security decisions and exceptions.
- SAGE comprises three production entry points: a Jira-based consultation assistant, a Slack-based operations guidance assistant, and a staff web-based security analysis workbench.
- The architecture uses a multi-agent workflow with Langflow for orchestration, OpenAI GPT models for reasoning, and Model Context Protocol (MCP) for real-time integration with Atlassian tools like Jira and Confluence.
- Key lessons include separating workflows by domain rather than using a generic chatbot, prioritizing source data organization over model selection for RAG accuracy, and treating operational feedback loops as core workflows for continuous improvement.
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