Automated Digital Redaction for Collaborative Design Models
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Solution Overview
Problem
In collaborative design environments, engineering teams face challenges in controlling access to sensitive information within digital models, particularly when multiple teams with different design responsibilities need to share and protect sensitive subsystems while ensuring security and compliance with regulations.
Innovation Solution
A method and system for automatically facilitating digital redaction in collaborative design environments, where metadata from one digital model is used to determine similarity criteria with another model, enabling automatic redaction based on existing redactions, user access patterns, and historical redaction data, with a neural network aiding in determining appropriate redactions and transmitting recommendations to administrators for implementing these redactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If engineering teams share digital models in collaborative design environments, then design collaboration and integration are improved, but security risks and exposure of sensitive information increase
Solution Approach 1:
The patent segments digital models into discrete subsystems with granular access control. Each subsystem can be independently accessed by authorized teams while maintaining security. The system divides information access rights at the subsystem level, allowing collaboration where needed while protecting sensitive data from unauthorized access.
Solution Approach 2:
The patent implements local quality by applying different access control policies to different subsystems based on their sensitivity and operational requirements. Not all parts of the digital model require the same level of access - critical subsystems have enhanced security while less sensitive areas allow broader collaboration.
2Object-affected harmful factors
If manual redaction processes are used to protect sensitive information, then security control is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs self-service redaction by automatically identifying and applying redactions to digital models based on predefined security policies and metadata. The automated system monitors access patterns, detects sensitive information, and applies appropriate redaction levels without requiring manual intervention from security personnel.
Solution Approach 2:
The patent implements preliminary action by pre-configuring security policies, redaction templates, and access control rules before collaborative projects begin. The system proactively applies redactions based on metadata analysis and historical data, preventing sensitive information exposure before it occurs rather than reacting after breaches are detected.
3Object-affected harmful factors
If detailed access control and redaction policies are implemented, then information security is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent applies universality by creating a multi-functional access control system that handles multiple security functions through a single integrated platform. The system performs redaction, access monitoring, policy enforcement, and compliance auditing through unified mechanisms, reducing overall system complexity compared to separate specialized systems.
Solution Approach 2:
The system manages complexity by dynamically adjusting security parameters based on context. Access control policies are automatically modified based on user roles, subsystem sensitivity levels, and real-time access patterns. This parameter-based approach allows detailed security control without manual configuration complexity.
4Reliability
If existing redactions are manually replicated across multiple digital models, then security consistency is improved, but productivity and efficiency decrease
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors redaction applications across digital models and automatically adjusts based on detected patterns. When a redaction is applied to one model, the system feedbacks this information to maintain consistent security posture across related models, ensuring reliability without manual replication.
Solution Approach 2:
The system uses intelligent copying by automatically replicating redaction patterns across digital models based on metadata similarity and structural relationships. Rather than manual copying, the system analyzes model metadata, identifies analogous subsystems, and applies corresponding redactions automatically, maintaining consistency while dramatically improving efficiency.
Data Source
AI summary
An example method of automatically facilitating redaction of a digital model including obtaining at least metadata of a first digital model of a first system and a second digital model of a second system, wherein the first digital model and second digital model each include a plurality of respective discrete subsystems representing different functions of their respective systems, each subsystem including a plurality of respective discrete model elements, and design responsibility for the plurality of discrete subsystems is assigned to a plurality of different engineering teams. The method includes, based on the at least metadata of the first digital model indicating that the first digital model includes a first digital redaction, and further based on the first digital model and second digital model meeting at least one similarity criterion, automatically facilitating a second digital redaction in the second digital model that is based on the first digital redaction.