Tunable AI Security Clearance Based on Interaction Segmentation
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Solution Overview
Problem
Current AI systems with natural language processing capabilities lack the ability to distinguish between different types of human interactions, which poses security concerns as they cannot replicate the nuances of private or professional interactions.
Innovation Solution
The proposed system trains AI to identify distinct users and their interactions by parsing datasets to associate users with specific interaction sets and assigning security clearance levels based on interaction types, allowing for restricted access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI systems are trained to replicate human responses using publicly available data, then the AI system can generate natural language responses, but the AI system cannot distinguish between public, private, and professional interactions
Solution Approach 1:
The patent segments human interactions into distinct categories (public, private, professional) with different security clearance levels. The AI system is trained to recognize and categorize interactions based on contextual cues, keywords, entities, time, length, and source characteristics, enabling differentiated access control for each interaction type.
Solution Approach 2:
The patent applies different security clearance levels and access restrictions to different types of interactions. Each interaction type (public, private, professional) is assigned specific security attributes, allowing the AI system to apply appropriate security measures locally based on the interaction category rather than using a uniform security approach.
2Reliability
If AI systems are limited to publicly available data, then security concerns are reduced, but the AI system cannot learn private or professional interactions
Solution Approach 1:
The patent implements preliminary security classification by training the AI system to identify and categorize interaction types before processing or replicating them. Security clearance levels are assigned in advance to different interaction types, allowing the system to prevent unauthorized access to private or professional interactions before they occur.
Solution Approach 2:
The patent introduces security clearance levels as an intermediary layer between the AI system and the interactions it processes. This intermediary mechanism allows the system to maintain security while still learning from diverse interaction types by controlling access to training data and processed interactions based on assigned clearance levels.
3Reliability
If the AI system is trained to identify distinct users and interactions, then security clearance can be assigned, but the system complexity increases
Solution Approach 1:
The patent creates a universal security clearance framework that can be applied across multiple interaction types and users. The AI system learns to identify various interaction characteristics (keywords, entities, time, length, source) and applies a unified security classification approach, making the system multi-functional while managing complexity through standardized security levels.
Data Source
AI summary
Methods and system are provided for tuning an artificial intelligence (“AI”) system. The methods and system may include training the AI system to identify distinct users their distinct interactions. The training may include receiving datatsets related to a plurality of distinct users and their plurality of distinct interactions. The AI system may parse the datasets to arrive at a plurality of sets of distinct interactions performed by respective distinct users, each distinct interaction may be associated with a level of security clearance. The AI system may receive a request from a user to access information. The methods and system may include the AI system initiating a communication with the user. The communication may be compared with the each set of distinct interactions until a user and level of security can be identified. The AI system may prompt the user to access information on the level of security clearance identified.