AI Cryptography Configuration Remediation for Secure Migration
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Solution Overview
Problem
Existing cryptographic techniques in networks are difficult to modify or migrate promptly without impacting surrounding infrastructure due to non-standardized configurations, lack of automated configuration techniques, and varying hardware and processing requirements.
Innovation Solution
Employing AI/ML techniques to analyze and refine cryptographic techniques by generating a cryptographic ontology, determining compatible modifications based on system capabilities and QoS requirements, and optimizing security and resource consumption using automated cryptography optimization systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptographic techniques are modified or migrated, then security is improved, but infrastructure compatibility and system stability deteriorate
Solution Approach 1:
The system dynamically adjusts cryptographic configurations based on real-time analysis of infrastructure capabilities and security requirements. The AI/ML model continuously learns from system responses and modifies cryptographic parameters adaptively, allowing security enhancements without rigid breaks from existing infrastructure constraints.
Solution Approach 2:
The system modifies cryptographic parameters (such as key lengths, algorithm types, protocol versions) in a controlled manner while monitoring infrastructure compatibility. By changing parameters incrementally and testing against system capabilities, the system achieves security improvements without causing incompatibility issues.
2Productivity
If automated configuration techniques are implemented, then productivity is improved, but system complexity increases
Solution Approach 1:
The system performs self-configuration by automatically analyzing its own cryptographic implementations, identifying vulnerabilities, and applying remediations without extensive human intervention. The AI/ML model learns from system responses and autonomously adjusts cryptographic settings, reducing manual configuration efforts while managing complexity through intelligent automation.
Solution Approach 2:
The system implements continuous feedback loops where cryptographic configurations are applied, system responses are monitored, and future configurations are adjusted based on observed outcomes. This feedback mechanism enables automated configuration while managing complexity through data-driven decision-making and iterative optimization.
3Measurement precision
If cryptographic ontology is generated and analyzed, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system introduces a cryptographic ontology as an intermediary layer that standardizes and structures cryptographic information from diverse sources. This ontology serves as a common framework that enables precise analysis and comparison of cryptographic implementations while simplifying the complexity of detecting and measuring cryptographic properties through unified data representation.
Data Source
AI summary
A device described herein may maintain a set of models that associate a plurality of sets of input cryptography configurations with respective sets of output cryptography configurations; receive information indicating a first set of cryptography configurations associated with a particular system; compare the first set of cryptography configurations with one or more sets of input cryptography configurations of the set of models; identify, based on the comparing, a particular set of input cryptography configurations included in the set of models; identify a particular set of output cryptography configurations that are indicated in the set of models as being associated with the identified particular set of input cryptography configurations; and provide the particular set of output cryptography configurations to the particular system, wherein the particular system modifies or replaces the first set of cryptography configurations with the particular set of output cryptography configurations.