Veracode Automates Open-Source Vulnerability Fixes with SCA

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Veracode Unveils AI-Powered Solution to Automate Open-Source Vulnerability Fixes

A new solution from Veracode aims to help organizations mitigate software supply chain risk by automating the remediation of open-source vulnerabilities. Veracode Fix for Software Composition Analysis (SCA) uses artificial intelligence to detect and fix vulnerabilities before code reaches production, integrating seamlessly into existing developer workflows.

The need for such a solution is clear: in 2025, software supply chain breaches accounted for 30% of external attacks, and 82% of organizations struggle with escalating security debt due to open-source dependencies, according to Veracode’s 2026 State of Software Security Report.

Addressing the Challenges

Veracode Fix for SCA addresses these challenges by leveraging deep, contextual analysis to deliver pull requests that are safe to merge, enabling autonomous fixing. Unlike traditional SCA solutions that often overwhelm developers with alerts and hinder productivity, Veracode Fix combines logic-driven AI with proprietary vulnerability intelligence to ensure ready-to-merge fixes while eliminating the risk of AI errors.

“AI is accelerating software development, but it’s also enabling an unprecedented explosion of supply chain risks,” said Tim Jarrett, Vice President of Product Management. “Visibility into these risks is no longer enough. Organizations need intelligent, automated solutions that not only find vulnerabilities but fix them with precision, giving development teams the confidence to innovate securely.”

Transforming the Remediation Process

Veracode Fix for SCA transforms the remediation process through several core capabilities, including contextual analysis, multi-file, cohesive pull requests, curated AI engine, and automated workflows. By evaluating the interaction between third-party dependencies and first-party code, the solution bundles all configuration files and source code modifications into a focused, easily reviewable update.

The curated AI engine grounds automated fixes in a proprietary, human-verified vulnerability database for accurate, trustworthy remediation. Automated workflows deliver ready-to-merge code directly into the developer’s Git environment.

“By enabling development teams to upgrade to safe open-source libraries automatically while addressing breaking changes with a single, testable update, we move organizations from seeing risk to actively eliminating it, strengthening the security of their software supply chains,” Jarrett said.

Key Capabilities

Contextual analysis: Evaluates the interaction between third-party dependencies and first-party code
Multi-file, cohesive pull requests: Bundles all configuration files and source code modifications into a focused, easily reviewable update
Curated AI engine: Grounds automated fixes in a proprietary, human-verified vulnerability database for accurate, trustworthy remediation
Automated workflows: Delivers ready-to-merge code directly into the developer’s Git environment