Abstract: The present disclosure relates to systems and methods for determining comprehensive and asset vulnerability ratings using models such as artificial intelligence (AI) and machine learning (ML) models. These models can identify relevant attributes, optimize attribute values, and determine logical relationships between attributes. The term “model” encompasses various types of AI and ML models, including neural networks, language models, multimodal models, and others. Models can be trained using supervised learning with labeled data to predict or classify new data items. The models can be locally hosted, cloud-managed, or accessed via APIs, and can be implemented in electronic hardware such as computer processors.

Abstract: A system and method for optimized stream management are provided. The method includes retrieving priority data; determining, in real-time, a current priority tree based on the retrieved priority data, wherein the priority tree includes at least one node representing a stream; identifying, based on the retrieved priority data, at least one relative weight of the at least one node; determining an effective weight based on each identified relative weight; and filling a buffer based on the current priority tree and the at least one effective weight.

Abstract: A system and method for accelerating content deliver over a content delivery network (CDN) are provided. In an embodiment, the method includes determining, based on a received hypertext transfer protocol (HTTP) request, a PUSH list, wherein the PUSH list includes at least one resource that can be immediately provided to a web browser without requesting the at least one resource from an origin server; and issuing, based on the PUSH list, at least one PUSH resource designator to an edge proxy, wherein each PUSH resource designator indicates one of the at least one resource, wherein the edge proxy is commutatively connected in geographic proximity to a client running the web browser, wherein the origin server and the edge proxy communicate over the CDN.

Abstract: A system and method for optimized stream management are provided. The method includes retrieving priority data; determining, in real-time, a current priority tree based on the retrieved priority data, wherein the priority tree includes at least one node representing a stream; identifying, based on the retrieved priority data, at least one relative weight of the at least one node; determining an effective weight based on each identified relative weight; and filling a buffer based on the current priority tree and the at least one effective weight.

Abstract: A system and method for accelerating content deliver over a content delivery network (CDN) are provided. In an embodiment, the method includes determining, based on a received hypertext transfer protocol (HTTP) request, a PUSH list, wherein the PUSH list includes at least one resource that can be immediately provided to a web browser without requesting the at least one resource from an origin server; and issuing, based on the PUSH list, at least one PUSH resource designator to an edge proxy, wherein each PUSH resource designator indicates one of the at least one resource, wherein the edge proxy is commutatively connected in geographic proximity to a client running the web browser, wherein the origin server and the edge proxy communicate over the CDN.