Identity Management System Account Template Generation
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Solution Overview
Problem
Existing Identity and Access Management (IAM) systems require significant user intervention and time for autoprovisioning, involving system administrators to manually define account defaults, which delays deployment and may increase security risks.
Innovation Solution
An IAM system is augmented to automatically analyze existing account information and generate account templates based on detected attribute patterns, enabling automated provisioning of user accounts without manual predefinition, using script expressions for dynamic value determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If system administrators manually specify default values for all account attributes in advance, then autoprovisioning can be implemented, but the deployment time is significantly delayed and requires extensive user intervention
Solution Approach 1:
The system performs self-service by automatically analyzing existing account information and discovering attribute patterns without requiring system administrators to manually pre-configure all account defaults. The autoprovisioning system provisions itself by learning from existing accounts, eliminating the need for extensive manual setup and reducing deployment time from many days to a minimal configuration phase.
Solution Approach 2:
The patent introduces an intermediary pattern recognition system that acts as a bridge between existing account information and new account provisioning. This intermediary analyzes existing accounts, discovers patterns in account attributes, and automatically generates appropriate default values for new accounts, thereby eliminating the need for manual pre-configuration while ensuring consistent and secure provisioning.
2Reliability
If manual pre-configuration of account templates is required, then security can be maintained, but the complexity of the provisioning process increases
Solution Approach 1:
The system automatically discovers and learns security-relevant patterns from existing accounts through self-service analysis. By examining existing account attributes and their relationships, the system autonomously configures appropriate defaults for new accounts, maintaining security consistency without requiring administrators to manually understand and configure complex security parameters.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously analyzes existing account information, learns from successful provisioning patterns, and adjusts its pattern recognition algorithms accordingly. This feedback loop ensures that security standards are maintained while the system becomes increasingly accurate in automatically determining appropriate account configurations, reducing the need for manual intervention.
Data Source
AI summary
An identity management system is augmented to provide for automated provisioning of user accounts in an IAM system. A user account is autoprovisioned based on detected attribute patterns. Responsive to a user request from a requesting user for access to a first target, it is determined that access will require a creation of a new account on the first target. A set of existing account information is retrieved. The retrieved set of existing account information is analyzed to discover attribute patterns in the existing account information. Next, an account template is generated according to the discovered attribute patterns. Using the generated account template, a new account on the first target is created giving the user access to the target.


