Code Property Graph Profiling for Early Application Security
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Solution Overview
Problem
Existing software development practices, characterized by faster cycles, open-source reliance, and cloud hosting, have outpaced traditional security models, necessitating a new system and method for application security profiling to address evolving vulnerabilities and ensure consistent security posture.
Innovation Solution
A system and method that generates a code profile through a code property graph, analyzing the structure and interactions of code to identify vulnerabilities, enabling dynamic security enforcement and feedback during development, and facilitating compliance documentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional security models are used, then security coverage is comprehensive, but development speed and adaptability deteriorate
Solution Approach 1:
The system implements dynamic security profiling that automatically adapts to changing code structures and dependencies. The security profile is continuously updated as code changes, enabling comprehensive security coverage without slowing down development cycles. The system dynamically adjusts its analysis based on the current state of the codebase, maintaining both speed and thoroughness.
Solution Approach 2:
The system provides feedback mechanisms that give developers real-time information about security implications of their code changes. This feedback loop enables developers to make security-aware decisions during development without requiring separate security review phases, thus maintaining development speed while improving security coverage.
2Measurement precision
If comprehensive security analysis is performed, then vulnerability detection is thorough, but development time increases
Solution Approach 1:
The system segments security analysis into multiple levels: static analysis of code structure, dynamic analysis of execution behavior, and contextual analysis of data flow. This segmentation allows thorough vulnerability detection by focusing analysis on specific aspects at different stages, rather than attempting to analyze everything simultaneously, thus reducing overall development time.
Solution Approach 2:
The system performs preliminary security profiling during the development process itself, rather than conducting comprehensive analysis only at deployment time. By establishing security baselines and identifying vulnerabilities early in the development cycle, the system reduces the time needed for final security reviews and enables faster iteration.
3Measurement precision
If security profiling is performed manually, then analysis depth is sufficient, but automation and scalability deteriorate
Solution Approach 1:
The system implements self-service security profiling where the codebase automatically generates its own security profile without requiring manual intervention. The system autonomously analyzes code structure, identifies dependencies, maps data flows, and detects vulnerabilities, thereby achieving both deep analysis and full automation. This eliminates the need for manual security audits while maintaining comprehensive coverage.
4Reliability
If security checks are performed at every stage, then security posture is maintained, but deployment speed decreases
Solution Approach 1:
The system maintains continuous security profiling that runs parallel to the development and deployment pipeline rather than creating sequential bottlenecks. Security analysis continues uninterrupted throughout the software lifecycle, ensuring security posture is maintained while enabling fast deployment through concurrent execution of security checks and code deployment activities.
Data Source
AI summary
A system and method for application security profiling that includes extracting a code property graph from at least a subset of a code base; generating a code profile from the code property graph, wherein generating the code profile occurs prior to a compilation of the code base; and applying the code profile, comprising of identifying sections of interest within the code base.