An SCA tool can help with AI-suggested dependencies only if it checks changes at the pull request, flags new or unusual packages and does not rely on vulnerability advisories alone. Test it by adding a brand new package, a misspelled name and a package that does not exist, and see what it reports.
What changes with AI assistants
Assistants speed up coding and also add dependencies quickly, sometimes without the developer looking closely. Two risks stand out. The first is that an assistant suggests a package name that does not exist, and an attacker later registers that name. The second is that it suggests a real but obscure or poorly maintained package, where a human might have chosen a well known one.
Neither produces a vulnerability advisory at the moment of adding. A tool that only matches versions to known advisories sees nothing wrong.
What a useful tool offers
Look for these capabilities, and check each in a trial:
- Checks at change time. Analysis of the dependency diff in each pull request, not just a weekly scan.
- New package signals. Warnings about packages that are very new, have few users, no repository link or recent ownership changes.
- Name similarity checks. Alerts when a name is close to a popular package.
- Policy rules. Allow lists, block lists or approval needed for new dependencies.
- Source clarity. Whether the package comes from your approved registry.
- Inventory of what was added. A history that shows when and by whom a dependency entered.
A short test
In a private test repository, open three pull requests:
- Add a legitimate, popular package. Expect a quiet pass.
- Add a package with a name one character different from a popular one. Expect a warning.
- Add a name that does not exist on the registry. Expect the install or the check to fail clearly, and see what the tool says.
Add a fourth with a very new and little used package, and note whether the tool treats it as a risk signal or ignores it.
Process beats tooling alone
Tools help, but habits matter too. Ask developers to check any new dependency before accepting an assistant's suggestion: does the package exist, who maintains it, and is it already used elsewhere in the company? Make that a line in the pull request template. Combine it with a lockfile review so unexpected additions are visible.
Questions for the vendor
- How do you analyze dependencies added by AI-generated changes? Is there any difference from human-authored ones?
- What signals beyond known vulnerabilities do you use?
- Can we require approval before a new dependency is merged?
- Which of these features are generally available today?
Where Safeguard fits: Safeguard provides SBOM and dependency scanning with policies and gates, plus an MCP Guardrail for agent tool access. You can run the free scan at gold.safeguard.sh/scan on a repository that uses AI assistance.
Quick check
Can AI assistants invent package names?
Yes, assistants can suggest names that do not exist. Verify any new dependency exists and is maintained before adding it.
Last reviewed: 19 October 2026.
