Proactive configuration auditing in O-RAN

A non-transitory machine-readable medium, comprising executable instructions that, when executed by at least one processor facilitate performance of operations, comprising:

• detecting an event at an interface of a radio system, wherein the interface corresponds to a registered auditing agent of the radio system, wherein the radio system comprises an open radio access network protocol or at least a fifth generation (5G) communication network protocol, and wherein the event corresponds to a possible degradation of a key performance indicator (KPI) of the radio system;
• matching, by an analytical model employing an artificial intelligence process, event data defining the event with first known context data, of known context data at a knowledge database, wherein the known context data defines network function inconsistencies;
• based on the matching, identifying a first network function hosted by the interface and defined at the first known context data as being associated with a known event of the known events;
• determining an inconsistency, of the inconsistencies, of the first network function based on the first known context;
• querying a service management and orchestration (SMO) element of the radio system for a working configuration of the first network function presently operating at the radio system;
• based on the determining of the inconsistency of the first network function, querying the SMO element for a working configuration of a second network function different from the first network function;
• and
• comparing the working configurations of the first network function and the second network function.

A method, comprising:

• detecting, by a system comprising at least one processor, an event at an interface of a radio system, wherein the interface corresponds to a registered auditing agent of the radio system, wherein the radio system comprises an open radio access network protocol or at least a fifth generation (5G) communication network protocol, and wherein the event corresponds to possible degradation of a key performance indicator (KPI) of the radio system;
• comparing, by an analytical model employing artificial intelligence, of the system, event data defining the event with known context data at a knowledge database, wherein the known context data defines known network function configurations associated with known events that correspond to KPI degradation;
• matching, by the system, the first known context data, of the known context data, with the event data;
• based on the comparing, identifying, by the system, network functions hosted by the interface and defined at the first known context data as being associated with a known event of the known events;
• determining, by the system, respective contexts of the network functions;
• and
• based on the respective contexts, predicting, by the system, a misconfiguration between respective working configurations of the network functions, resulting in a predicted misconfiguration;
• querying, by the system, a service management and orchestration (SMO) element of the radio system for the respective working configurations of the network functions presently operating at the radio system;
• and
• in connection with the querying of the SMO element, querying, by the system, the knowledge database for respective known network function configurations, of the known network function configurations, corresponding to the network functions and that are defined by the first known context data;
• wherein the comparing the event data comprises comparing working configurations for the network functions, and comparing the working configurations with the respective known network function configurations corresponding to the network functions, and
• wherein the predicting the misconfiguration is based on respective results of the querying of the SMO element and of the querying of the knowledge database.