Legit Security says its Agentic Remediation capability can now address vulnerabilities in open-source dependencies as well as static-analysis findings in first-party code. The announced workflow selects an upgrade, updates dependency files, rescans the change and opens a pull request; people still review the proposed fix. For upgrades that cross a major-version boundary, any suggested source-code adaptations are AI-assessed, not independently verified.
What Legit Security announced
Legit Security’s announcement, distributed by Technology Newswire and published by TechCrunch on September 30, 2026, expands Agentic Remediation from static-analysis findings in first-party code to vulnerabilities in open-source dependencies. Help Net Security covered the announcement on October 1, 2026.
The TechCrunch item is a vendor announcement carried through a newswire, not independent product testing. It describes what the company says the capability does; it does not establish customer results, actual feature availability, or performance in production.
How the announced dependency-fix workflow works
- Identify the dependency: The agent identifies the vulnerable package and its current version, and determines whether it is a direct dependency or is introduced transitively by another package.
- Select an upgrade: It seeks the smallest version upgrade that resolves the vulnerability, staying within the current major version where possible.
- Update dependency files: It changes dependency configuration and regenerates the lockfile. The announcement says it also addresses other instances of the vulnerable version in the dependency tree.
- Rescan and prepare a pull request: The company says the agent rescans before and after the change, then opens a pull request containing the fix and vulnerability details for review.
Legit describes the rescan as verification. That term applies to the rescanning process described by the vendor; the announcement does not report independent efficacy tests, false-positive rates, or customer outcomes.
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What changes when an upgrade crosses a major version
A fix that requires a major-version upgrade can involve source-code changes as well as a dependency update. In that case, the agent analyzes how the repository uses the package and proposes AI-assisted code adaptations. The dependency fix is rescanned, but the proposed code adaptation is AI-assessed rather than independently verified. Legit says the pull request marks this distinction so reviewers can scrutinize the adaptation more closely.
That separation matters: a rescan of the updated dependency does not establish that suggested application-code changes are correct. Reviewers should examine the adaptation in context and test the resulting application before merging.
Rank #2
What the announcement does not establish
The announcement and its coverage do not specify supported package ecosystems, integrations, rollout status, pricing, or which customers are eligible. They also provide no comparative performance data. Teams evaluating the capability need to confirm those details with Legit Security rather than infer support or availability from the announcement.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How it compares with OSV-Scanner guided remediation
Legit Security is not the only example of automated dependency remediation. In an April 2, 2024 post, Google’s Open Source Security Team described guided remediation in the separate, open-source OSV-Scanner. The post said the tool could automatically upgrade dependencies to address vulnerabilities and offered an interactive mode for prioritizing updates using factors such as severity, dependency depth, and dependency type.
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The available descriptions suggest practical evaluation questions, not a basis for ranking the products:
Rank #4
- Which ecosystems, manifests, lockfiles, and integrations does the tool support?
- Does it handle both direct and transitive dependencies, and how does it choose an upgrade?
- How does it treat major-version changes and any required source-code edits?
- Which files does it change, and what rescanning or other verification does it perform?
- Does it create a pull request, and what review and testing remain the team’s responsibility?
The sources provide no head-to-head results, so they do not show that either approach is more accurate or effective.
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