Detecting safety concerns via subscriber safety control (SSC) system

A computer-implemented method, comprising:

• under control of one or more processors:
• detecting that a client device is engaged in a real-time communication session with a third-party device, the client device being associated with a Secondary Account Holder (SAH) of a client account;
• retrieving, from the client device, communication session data associated with the real-time communication session, the communication session data including audio data and session metadata of the real-time communication session, the session metadata including a current geographic location of the client device and a third-party device identifier associated with the third-party device;
• retrieving, from a data store, a client data model associated with the SAH, the client data model correlating instances of historical communication sessions between the SAH and one or more third-parties;
• analyzing the communication session data by identifying data patterns between the session metadata and data-points of the client data model;
• inferring a subscriber safety score that is associated with the real-time communication session, based at least in part on correlation of the session metadata and the data-points of the client data model;
• and
• transmitting notification data to a trusted device associated with the client account, based at least in part on the subscriber safety score.

A system comprising:

• one or more processors;
• a memory coupled to the one or more processors, the memory including one or more modules that are executable by the one or more processors to:
• receive, from a client device, communication session data associated with a real-time communication session between the client device and a third-party device, the communication session data including audio data and session metadata, and wherein the client device is associated with Secondary Account Holder (SAH) of a client account;
• retrieve, from a data store, instances of historical communication sessions conducted by the SAH over a predetermined time interval, the instances of historical communication sessions including corresponding audio data and corresponding session metadata;
• generate a client data model based on the instances of historical communication sessions;
• correlate the audio data and the session metadata of the real-time communication session with data-points of the client data model;
• determine a subscriber safety score based at least in part on a correlation of the audio data and the session metadata, and the data-points of the client data model;
• determine whether the subscriber safety score is greater than or equal to a predetermined safety threshold;
• and
• in response to the subscriber safety score being greater than the predetermined safety threshold, generate notification data for delivery to a trusted device, the notification data including computer-executable instructions that present an alert on a display of the trusted device that indicates a safety concern for the SAH has been inferred.