Build Script Analysis for Tiered CI/CD Security Enforcement
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Solution Overview
Problem
CI/CD pipelines lack adequate security measures, allowing malicious actors to exploit vulnerabilities in source code and spread attacks throughout the software supply chain, and existing solutions fail to provide continuous monitoring and enforcement of security policies beyond the build phase.
Innovation Solution
A system and method for enforcing security policies in dynamic development pipelines by analyzing build scripts to identify expected actions, constructing a representation of these actions, and generating a tiered security policy that monitors and enforces permissions across various stages of the pipeline using machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security monitoring is expanded across multiple pipeline stages, then security coverage is improved, but system complexity increases
Solution Approach 1:
The security monitoring system is divided into multiple independent agents, each responsible for monitoring specific pipeline stages (source, build, test, deploy). This segmentation allows comprehensive security coverage across all stages while keeping each agent's complexity manageable and modular.
Solution Approach 2:
The security agents are designed with multi-functionality to perform multiple tasks including monitoring build scripts, detecting malicious actions, enforcing security policies, and generating alerts. This universal design reduces overall system complexity by consolidating security functions into unified agents rather than requiring separate specialized components for each function.
2Productivity
If automated security policy enforcement is implemented, then productivity is improved, but measurement precision requirements increase
Solution Approach 1:
The system performs preliminary analysis of build scripts to identify expected build actions before execution. By pre-defining what actions should occur during each pipeline stage, the system can automatically detect and block unauthorized actions with high precision, enabling automated enforcement without false positives.
Solution Approach 2:
The security agents continuously monitor pipeline execution and provide real-time feedback when unauthorized actions are detected. This feedback mechanism allows the system to automatically enforce security policies by blocking malicious actions while maintaining high detection accuracy through continuous verification against the predefined expected actions.
Data Source
AI summary
Disclosed embodiments relate to systems and methods for enforcing security policies in dynamic development pipelines. Techniques include accessing a build script, including a set of instructions for a software build process, parsing the build script to identify a set of scripted build instructions, determining a set of expected build actions based on the scripted build instructions, and constructing a representation of the set of expected build actions. The techniques may further include automatically generating a tiered security policy based on the representation of the set of expected build actions, monitoring a dynamic pipeline running the build script, and enforcing the security policy for the dynamic pipeline environment.