Central Identity Platform Automates IAM Capability Updates
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Solution Overview
Problem
Existing identity and access management (IAM) systems lack a centralized hub for efficiently onboarding and configuring applications across disparate platforms, leading to inefficiencies in information sharing and manual, siloed management of application capabilities, which hinders the deployment of necessary security protocols and regulatory compliance.
Innovation Solution
A central connected identity platform or central advanced identity onboarding (AIO) system that integrates data from multiple IAM platforms, continuously monitors application capabilities, identifies gaps, and automatically deploys updates, enabling comprehensive tracking and configuration of capabilities across all IAM platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized identity platform is implemented to integrate data from multiple IAM platforms, then information sharing and capability tracking efficiency are improved, but system complexity and integration effort increase
Solution Approach 1:
The centralized identity platform acts as an intermediary system that connects to multiple disparate IAM platforms through standardized interfaces. It ingests data from various sources including configuration management databases and questionnaire responses, then processes and correlates this information to identify capability gaps and generate deployment recommendations, thereby simplifying the overall integration process while maintaining comprehensive visibility across platforms.
Solution Approach 2:
The centralized identity platform is designed as a multi-functional system that performs multiple roles: data ingestion from various sources, capability gap analysis, visualization generation, and deployment recommendation. This universal platform serves as a single hub for onboarding, monitoring, and updating application and capability deployment across different IAM platforms, eliminating the need for separate tools for each function.
2Extent of automation
If automated capability gap identification and deployment is implemented, then manual configuration effort is reduced, but automation complexity and initial setup requirements increase
Solution Approach 1:
The system implements automated feedback loops where the centralized platform continuously monitors deployed capabilities across IAM platforms, compares them against required capabilities identified through questionnaires and configuration data, identifies capability gaps, and generates deployment recommendations. This automated feedback mechanism reduces manual configuration effort while managing complexity through systematic processing of capability data.
Solution Approach 2:
The automated capability deployment system enables self-service functionality where the platform automatically ingests configuration data, identifies capability gaps, generates visualizations, and provides deployment recommendations without requiring manual intervention for each capability assessment. This reduces ongoing manual effort while the initial automation setup handles the complexity of integrating multiple data sources and platforms.
3Measurement precision
If comprehensive capability tracking across all IAM platforms is implemented, then capability gap identification accuracy is improved, but data collection and processing overhead increase
Solution Approach 1:
The system performs preliminary data collection by ingesting configuration information from configuration management databases and questionnaire responses before conducting capability gap analysis. This preliminary action ensures that the necessary data is already available and structured when the analysis phase begins, improving tracking accuracy while reducing the time required during the actual capability assessment process.
Solution Approach 2:
The centralized identity platform implements continuous monitoring of capability deployments across IAM platforms, maintaining an ongoing view of deployed capabilities rather than performing periodic manual assessments. This continuous action ensures accurate capability tracking while the automated data ingestion processes minimize the time overhead by systematically collecting data from multiple sources in the background.
Data Source
AI summary
A system for updating application capabilities across identity and access management (IAM) platforms is provided herein. The system receives data at a central system from a plurality of data sources. The central system identifies deployed application capabilities based on data from a first data source and identifies target application capabilities from a second data source. The central system compares the one or more deployed application capabilities to the one or more target application capabilities to identify a capability gap, wherein the capability gap represents a target capability not included in the deployed application capabilities. The central system automatically selects one or more applications to update based on the identified capability gap, and the central system automatically updates the selected applications by deploying the target application capabilities not included in the deployed application capabilities to the selected applications via an IAM platform.