Switch a dependency scanner when the problem survives tuning: results developers ignore, ecosystems it cannot read, fixes nobody acts on, or a workflow that blocks releases. If the pain disappears after a week of configuration, you have a setup problem, not a tool problem, and a migration would waste months.
Tuning problem or tool problem
Start with a cheap test. Give one engineer a week to fix configuration: scope the scan to production dependencies, set sensible severity thresholds, remove duplicate projects, and suppress findings with a written reason. Then measure again.
If the complaint was "too many alerts" and the count dropped by half, keep the tool. If the complaint was "it cannot see our Gradle multi-module build" and nothing in the settings changes that, you have found a limit of the product.
Six signs that point to the tool
- Coverage gaps you cannot configure away. A language, package manager, container base image or monorepo layout the scanner does not parse. Gaps are silent: the scan passes because it never looked.
- Results nobody opens. Check how many findings from the last quarter were ever triaged. If the answer is close to zero, the queue is noise or the workflow is broken.
- Data that arrives late. A public advisory is out and your tool does not mention it for days. Pick two recent advisories and check when each appeared in your tool versus the public source.
- No way to separate exploitable from present. Every vulnerable library is treated the same, so priorities come from guesswork. That is a feature gap rather than a tuning issue.
- Findings without a path to a fix. The tool lists problems but leaves the upgrade work, the testing and the pull request to a person who already has a backlog.
- Integration friction. Pipelines that take too long, break on every runner image change, or cannot talk to the ticketing system your team actually uses.
One sign alone rarely justifies a switch. Three or more, all persisting after tuning, usually do.
Signs that are not enough
Some triggers feel urgent but are weak reasons:
- A competitor's sales call. Run your own measurements instead.
- A renewal date. It is a good moment to review, but a deadline is not a defect.
- A high finding count. A tool that finds more may simply be reading more of your code. Count is not quality.
- One bad week. Look at a quarter of data.
What a switch really costs
The license is the smaller part. The larger costs are the parallel run, rewriting policy rules and ignore lists, retraining developers, and re-establishing baselines so you can still show trend lines. Plan for at least one full release cycle with both tools running. If you decide to move, the parallel run and cutover guide covers the sequence.
Where Safeguard fits: it provides SBOM and dependency scanning with reachability analysis, and the free scan lets you compare its output with your current tool on a public repository before you commit to anything.
Try it yourself
Click through it at your own pace, or open it full screen.
Look at how direct and transitive packages are listed, then ask whether your current tool shows the same depth.
Quick check
How long should I tune before deciding to switch?
One to two weeks of focused tuning on a representative project is usually enough to separate a configuration problem from a product limit.
Is a lower finding count a sign of a better scanner?
No. A lower count can mean better filtering or less coverage. Compare results on the same repository and verify a sample by hand.
Last reviewed: 19 October 2026.
