Code Security Risk Assessment via Segmented Analysis
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Solution Overview
Problem
Existing security measures for software code are inflexible, difficult to scale, and rely on employee prudence, making it challenging to accurately assess and prioritize security risks across vast and dynamic codebases, leading to potential data loss and security breaches.
Innovation Solution
A system and method for automatically detecting and addressing security risks in code segments by performing real-time assessments based on API risk levels, embedded credentials, and target resource risk levels, allowing for customizable risk analysis and reporting, with the ability to track changes and anomalies in security risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security measures (privileged account access, multi-factor authentication) are implemented to protect code, then access control is improved, but the system becomes inflexible and difficult to scale with increasing volumes of code
Solution Approach 1:
The patent segments the codebase into individual code segments and functions, allowing security assessment to be performed at a granular level rather than treating the entire codebase as a single unit. This segmentation enables scalable security management where each segment can be independently assessed and protected based on its specific risk profile
Solution Approach 2:
The system dynamically changes security parameters by calculating risk scores based on multiple factors (sensitivity of data accessed, complexity of code, frequency of modification, etc.) and adjusting security measures accordingly. This allows the security system to adapt flexibly to different code segments and scale with increasing code volumes
2Measurement precision
If manual security monitoring is performed to assess code risks, then security assessment accuracy is improved, but the process becomes time-consuming and cannot keep pace with ever-changing software
Solution Approach 1:
The system implements continuous feedback loops where security risk assessments are automatically performed on code segments, and the results feed back into adjusting security measures. This automated feedback mechanism enables real-time security monitoring that maintains high assessment accuracy while keeping pace with rapid software changes
Solution Approach 2:
The security assessment system performs self-service by automatically analyzing code segments, calculating risk scores, and identifying security issues without requiring manual intervention. This automation maintains precision through consistent application of security criteria while eliminating time losses associated with manual monitoring
3Reliability
If comprehensive security monitoring is implemented across all code, then security coverage is improved, but the complexity of managing and prioritizing security risks increases
Solution Approach 1:
The patent applies local quality by assigning different security risk levels and protection measures to different code segments based on their specific characteristics. High-risk segments receiving more intensive security measures while low-risk segments receive standard protection, thereby managing complexity through differentiated security approaches rather than uniform treatment of all code
4Quantity of substance
If code security is assessed at the application level, then assessment scope is improved, but the granularity and accuracy of risk identification decreases
Solution Approach 1:
The system divides the codebase into smaller code segments and functions, enabling security assessment to occur at both the application level (broad scope) and the code segment level (high precision). This multi-level segmentation approach maintains comprehensive coverage while achieving granular risk identification through analysis of individual functions and their specific security characteristics
Data Source
AI summary
Disclosed embodiments relate to systems and methods for automatically detecting and addressing security risks in code segments. Techniques include accessing a plurality of code segments developed for execution in a network environment, automatically identifying a first code segment from the plurality of code segments for analysis, automatically performing a first code-level security risk assessment for the first code segment, and determining a first security risk level for the first code segment based on the application programming interface risk level. The first code-level security risk assessment may be performed based on at least one of an application programming interface risk level, an embedded credentials risk level, and a target resource risk level. Further techniques may include determining a second security risk level for a modified version of the first code segment; and enabling a comparison between the first security risk level and the second security risk level.