Software Pipeline Event Correlation Across Vendors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cybersecurity techniques struggle to reliably correlate software development events across multiple vendors in the software development pipeline, making it difficult to validate the integrity of code before deployment and detect potential supply chain attacks.
Innovation Solution
A system that extracts and correlates potential identifiers from event data across different vendors, using a data structure to match and determine correlations between software pipeline events, allowing for dynamic and continuous monitoring of the development pipeline without interrupting normal development or deployment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional techniques are used to monitor software development events, then event monitoring can be performed, but reliable correlation of events across multiple vendors cannot be achieved
Solution Approach 1:
The patent implements a universal event representation schema that can accommodate events from multiple vendors with different formats and identifier systems. The system extracts and normalizes vendor-specific identifiers into a common representation, enabling the same correlation logic to work across diverse vendor tools without requiring vendor-specific customization.
Solution Approach 2:
The patent introduces an intermediary correlation engine that sits between vendor-specific event sources and the analysis system. This intermediary extracts identifiers from vendor-specific event data, normalizes them into a common format, and performs correlation matching. This mediator layer decouples the vendor-specific formats from the correlation logic, enabling reliable cross-vendor event correlation.
2Reliability
If dynamic correlation is performed continuously, then code integrity validation can be achieved, but normal development processes may be interrupted
Solution Approach 1:
The patent implements event extraction and identifier normalization as preliminary actions that occur in the background during normal development operations. Event data is collected and processed asynchronously, with correlation checks performed on already-generated event data rather than blocking development workflows. This allows integrity validation to occur without interrupting the development process.
Solution Approach 2:
The patent establishes continuous event monitoring and correlation that operates in the background throughout the software development lifecycle. Rather than performing discrete validation checks that could interrupt development, the system continuously collects events, extracts identifiers, and performs correlation matching as an ongoing process, ensuring code integrity validation occurs without breaking the continuous development flow.
Data Source
AI summary
Disclosed embodiments relate to systems and methods for correlating software pipeline events. Techniques include receiving first data representing at least one aspect of a first software pipeline event; identifying a value as a potential identifier of the first software pipeline event; storing the value in a data structure in an associative manner with the first software pipeline event; receiving second data representing at least one aspect of a second software pipeline event; identifying an additional value as a potential identifier of the second software pipeline event; comparing additional value to the value stored in the data structure; based on the comparison, determining whether a correlation exists between the first software pipeline event and the second software pipeline event; and based on a determination that a correlation exists, providing an indication of the correlation.