AI Brain aims to build an AI‑oriented security analysis and traceability platform that delivers full‑process closed‑loop management of Multi‑source Data Fusion — Intelligent Threat Detection — Dynamic Situation Assessment — Accurate Traceability Analysis — Collaborative Emergency Response. The specific objectives include:

Construct an AI‑interpretable and correlatable data‑evidence system. Adopt ontology concepts to establish correlations and scenario‑based applications for various logs and behavioral data, so as to form fundamental evidence sources for AI.

Achieve minute‑level intelligent response: through the collaborative orchestration of Multi‑Agent, compress the Mean Time To Detect (MTTD) and Mean Time To Respond (MTTR) for security incidents from the traditional hour‑level to minute‑level.

Build explainable traceability capability: combine knowledge graphs and deep learning to conduct correlation analysis on cross‑modal data, and accurately reconstruct attack chains and intrusion sources.

Define the security boundary for human‑machine collaboration: establish an "Agent Autonomous Zone" and "Expert Intervention Zone" to ensure manual oversight over high‑risk operations, safeguarding business continuity and data security.