Centralized Multi-Cloud IAM Controller for Unified Security Monitoring
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Solution Overview
Problem
Existing IAM solutions struggle to seamlessly integrate and manage identities and access across diverse cloud platforms in multi-cloud environments, lacking a unified framework for identity and access management, leading to increased security risks and operational inefficiencies.
Innovation Solution
A system with a central controller and processing modules, including a data ingesting module, app controller module, and security controller module, that collects and integrates data from multiple cloud providers, enabling comprehensive data management and visualization of user and application activities across a multi-cloud environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional single-cloud IAM solutions are used, then identity and access management is simplified within a single cloud provider, but the solution cannot seamlessly integrate and manage identities across diverse cloud platforms
Solution Approach 1:
The patent implements a universal IAM framework that operates across multiple cloud platforms (AWS, Azure, GCP, Oracle Cloud) by defining a common identity and access management architecture that is not tied to any single provider. The system uses standardized protocols and a centralized controller that can manage identities and access rights uniformly across different cloud environments, enabling one system to perform multiple cloud management functions.
Solution Approach 2:
The patent introduces a centralized IAM controller as an intermediary layer between users/apps and diverse cloud providers. This controller acts as a mediator that translates and standardizes authentication and authorization requests across different cloud platforms, handling the complexity of multi-cloud integration while presenting a simplified interface to users and applications.
2Reliability
If a centralized controller collects data from all cloud providers, then real-time visibility and security monitoring are improved, but data collection and processing complexity increases
Solution Approach 1:
The patent merges data from multiple cloud providers into a unified centralized repository. The controller collects identity and access management data from all cloud platforms and consolidates it in a single storage location, enabling comprehensive security monitoring and analysis. This merging approach allows the system to maintain real-time visibility across the entire multi-cloud environment while simplifying data processing through a single centralized architecture.
3Reliability
If IAM policies are enforced consistently across all cloud platforms, then security posture is standardized and improved, but implementation and maintenance complexity increases
Solution Approach 1:
The patent defines universal IAM policies and access control mechanisms that can be consistently applied across all cloud platforms. The centralized controller implements these standardized policies uniformly, ensuring that security postures are maintained consistently regardless of the underlying cloud provider. This universality approach simplifies policy management by using a single set of rules that work across all platforms.
Solution Approach 2:
The system incorporates continuous feedback mechanisms where the centralized controller monitors compliance with IAM policies across all cloud platforms and automatically adjusts configurations to maintain consistency. This feedback loop enables the system to detect and correct deviations from standardized policies, making implementation and maintenance easier despite the multi-cloud complexity.
Data Source
AI summary
Described herein is a system and method for performing data management in a multi-cloud environment. The system includes a computing unit communicably connected to a central controller, comprising an input component adapted to present an input query, and an output component adapted to elicit a response from the central controller. The central controller includes a central repository adapted to receive multi-cloud environment resource datasets. The central controller includes processing modules, each comprising programming instructions and configured to perform a predetermined activity. Each processing module includes a data ingesting module, an app controller module and a security controller module. A user presents an input query on an interface configured onto a computing unit. The central controller processes the input query with a processing module to collect and identify a complete data set collected by detecting, capturing and recognizing tasks and/or resources accessed by each user and application, and resource.