Ai-based system and method for automatically providing adaptive security posture recommendations using dynamic knowledge graphs

An artificial intelligence (AI) based system for automatically providing one or more adaptive security posture recommendations using one or more dynamic knowledge graphs, the AI-based system comprising:

• one or more hardware processors;
• a memory coupled to the one or more hardware processors, wherein the memory comprises a plurality of subsystems in form of programmable instructions executable by the one or more hardware processors, and wherein the plurality of subsystems comprises:
• a data obtaining subsystem configured to obtain infrastructure data from one or more data sources, wherein the one or more data sources comprise at least one of:
• one or more cloud providers and one or more development and operations services, and wherein the infrastructure data comprise data associated with at least one of:
• one or more cloud infrastructures and one or more application infrastructures;
• a knowledge graph generating subsystem configured to generate the one or more dynamic knowledge graphs in real-time based on the obtained infrastructure data by scanning one or more cloud application programming interfaces (APIs), wherein the one or more dynamic knowledge graphs indicate one or more relationships and dependencies of one or more infrastructure components, and
• wherein the one or more dynamic knowledge graphs comprise one or more nodes indicating each infrastructure component of the one or more infrastructure components and one or more edges indicating the one or more relationships and dependencies of the one or more infrastructure components;
• an information retrieving subsystem configured to retrieve one or more relevant elements from the generated one or more dynamic knowledge graphs, by performing one or more semantic searches within one or more vector databases based on one or more graph queries;
• a recommendation generating subsystem configured to generate the one or more adaptive security posture recommendations based on the retrieved one or more relevant elements using a large language model (LLM);
• and
• an output subsystem configured to automatically provide the generated one or more adaptive security posture recommendations, as an output, to one or more users through one or more user interfaces associated with one or more electronic devices of the one or more users.

A non-transitory computer-readable storage medium having instructions stored therein that when executed by one or more hardware processors, cause the one or more hardware processors to execute operations of:

• obtaining infrastructure data from one or more data sources, wherein the one or more data sources comprise at least one of:
• one or more cloud providers and one or more development and operations services, and wherein the infrastructure data comprise data associated with at least one of:
• one or more cloud infrastructures and one or more application infrastructures;
• generating one or more dynamic knowledge graphs in real-time based on the obtained infrastructure data by scanning one or more cloud application programming interfaces (APIs), wherein the one or more dynamic knowledge graphs indicate one or more relationships and dependencies of one or more infrastructure components, and
• wherein the one or more dynamic knowledge graphs comprise one or more nodes indicating each infrastructure component of the one or more infrastructure components and one or more edges indicating the one or more relationships and dependencies of the one or more infrastructure components;
• retrieving one or more relevant elements from the generated one or more dynamic knowledge graphs, by performing one or more semantic searches within one or more vector databases based on one or more graph queries;
• generating one or more adaptive security posture recommendations based on the retrieved one or more relevant elements using a large language model (LLM);
• and
• automatically providing the generated one or more adaptive security posture recommendations, as an output, to one or more users through one or more user interfaces associated with one or more electronic devices of the one or more users.