Systems and methods for utilizing machine learning to support access traffic steering, switching, and splitting

A device, comprising:

• one or more processors configured to:
• receive secure connection data and load data associated with a secure connection established between a user equipment (UE) and a core network via an untrusted access network,
• wherein the secure connection is an Internet protocol security tunnel provided between the UE and the core network;
• process the secure connection data and the load data to generate analytics associated with the secure connection;
• and
• provide the analytics to one or more analytics consumers to cause the one or more analytics consumers to perform one or more actions based on the analytics.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive secure connection data and load data associated with a secure connection
• established between a user equipment (UE) and a core network via an untrusted access network;
• process the secure connection data and the load data, with a machine learning model, to generate analytics associated with the secure connection;
• and
• provide the analytics to one or more analytics consumers to cause the one or more analytics consumers to perform one or more actions based on the analytics,
• wherein the one or more analytics consumers include one or more of a network exposure function of the core network, a policy control function of the core network, an application function of the core network, or an operations and management system associated with the core network.