Platform-Agnostic AI-Generated Token System for Network Resiliency

A method for enhancing network resiliency across a plurality of applications, comprising:

• training, by a cluster of artificial intelligence models, each model in the cluster on a distinct network function from a set of network functions including authentication, authorization, data validation, traffic filtering, load balancing, and encryption offloading, wherein each model in the cluster is configured to generate policies based on application features and communication protocols, and wherein training each model in the cluster includes using a dataset comprising historical application performance data and protocol specifications;
• monitoring, by a network monitoring system, health metrics of each application in the plurality of applications, wherein the health metrics include processor usage, memory consumption, and error rates, and wherein monitoring the health metrics includes aggregating logs using a log aggregation tool and visualizing the health metrics via a graphical interface;
• detecting, by the network monitoring system, when the health metrics of a first application in the plurality of applications fall below a predefined threshold, wherein detecting includes comparing the health metrics against a threshold value customized for the first application based on its operational requirements;
• generating, by a generative artificial intelligence, a platform-agnostic token for the first application upon detection, wherein the platform-agnostic token includes metadata specifying a network function from the set of network functions, application features of the first application, and a communication protocol, and wherein generating the platform-agnostic token includes encrypting the platform-agnostic token with an encryption key stored in a secure vault;
• distributing, by an event bus, the platform-agnostic token to a set of backup applications within the plurality of applications, wherein distributing includes broadcasting the platform-agnostic token across a distributed messaging system configured to handle high-throughput communication;
• receiving, by the event bus, an acceptance signal from a second application in the set of backup applications indicating readiness to perform the network function specified in the platform-agnostic token, wherein receiving the acceptance signal includes selecting the second application as a first responder from multiple acceptance signals received within a predefined timeout period;
• updating, by a gateway, a routing policy to redirect network traffic from the first application to the second application based on the platform-agnostic token, wherein updating the routing policy includes modifying a configuration file of the gateway via an application programming interface call;
• redirecting, by the gateway, the network traffic to the second application using the updated routing policy, wherein redirecting includes validating the second application's performance post-redirection using the network monitoring system;
• refining, by the cluster of artificial intelligence models, token generation accuracy using federated learning across the plurality of applications without exposing application-specific data;
• deploying, by a container orchestration platform, the cluster of artificial intelligence models, the network monitoring system, the event bus, and the gateway as microservices across edge and cloud environments;
• adjusting, by the network monitoring system, the predefined threshold dynamically based on real-time network conditions;
• and
• generating, by the generative artificial intelligence, a composite token addressing multiple network functions when the health metrics indicate simultaneous degradation across more than one network function of the first application.

A system for enhancing network resiliency across a plurality of applications, comprising:

• a cluster of artificial intelligence models configured to train each model in the cluster on a distinct network function from a set of network functions including authentication, authorization, data validation, traffic filtering, load balancing, and encryption offloading, wherein each model in the cluster is configured to generate policies based on application features and communication protocols;
• a network monitoring system configured to monitor health metrics of each application in the plurality of applications, wherein the health metrics include processor usage, memory consumption, and error rates, and to detect when the health metrics of a first application in the plurality of applications fall below a predefined threshold;
• a generative artificial intelligence configured to generate a platform-agnostic token for the first application upon detection by the network monitoring system, wherein the platform-agnostic token includes metadata specifying a network function from the set of network functions, application features of the first application, and a communication protocol;
• an event bus configured to distribute the platform-agnostic token to a set of backup applications within the plurality of applications and to receive an acceptance signal from a second application in the set of backup applications indicating readiness to perform the network function specified in the platform-agnostic token;
• and
• a gateway configured to update a routing policy to redirect network traffic from the first application to the second application based on the platform-agnostic token and to redirect the network traffic to the second application using the updated routing policy.