This invention discloses a method and
system for semantic compliance review and risk tracing of
network configuration changes based on a large-
scale model. By constructing a
policy compliance knowledge graph of the communication bearer network, business intent, policy rules, and compliance constraints are structurally represented.
Natural language service change requests are received and parsed into structured business intent using a large-scale
language model. Based on retrieval-enhanced generation technology, a policy context subgraph is retrieved from the
knowledge graph and input into the large-scale
language model for logical compliance reasoning, yielding compliance judgment results and policy rules. This results in the construction of a decision tracing evidence chain containing the original request, parsed intent, reasoning basis, and violation rules. Pre-decision decisions are executed based on the judgment results; if violations are found, the process is blocked and the evidence chain is output. This invention elevates configuration change review from
network performance verification to the semantic compliance understanding level, enabling proactive
risk prevention and white-box decision-making, significantly improving the security and auditability of communication network operation and maintenance.