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Six myths about evaluating SCA tools, and what is actually true

Common beliefs that derail software composition analysis trials, such as more findings means better, and why each one leads buyers to the wrong decision.

Safeguard Security Team
3 min read

The most common SCA evaluation mistakes come from six beliefs: more findings is better, a clean demo predicts production, severity equals priority, one trial repository is enough, setup effort does not matter, and every feature listed is available today. Each is partly understandable and each is wrong in a way you can test.

The six myths

Myth 1: more findings means a better tool

Fact: a longer list can mean wider coverage, or it can mean more duplicates, wrong version matches and findings in code you never call. Compare the list with a hand-checked sample. Count the findings your engineers would act on, not the total.

Myth 2: the vendor demo shows what you will get

Fact: demos use prepared repositories chosen to show strengths. Your code has older lockfiles, odd layouts and private packages. Run the trial on your messiest repository, not your cleanest.

Myth 3: severity is the same as priority

Fact: a severity score describes a flaw in general. Priority depends on whether the code is called, whether the flaw is being exploited, how exposed the service is and whether a fix exists. A tool that sorts only by severity leaves that thinking to you.

Myth 4: one repository is a fair test

Fact: one repository tests one stack. If you ship three languages, a tool that does well in one may be weak in another. Include at least one repository per major ecosystem, and one large or monorepo case.

Myth 5: setup time is a detail

Fact: a tool that takes weeks to connect, or needs constant tuning, has a hidden cost that never shows in the quote. Time how long it takes a normal engineer to get a first useful result without vendor help. Note every manual step.

Myth 6: if it is on the feature list, it works today

Fact: feature lists often mix generally available features with previews and roadmap items. Ask for each feature you care about whether it is generally available, in preview or planned, and ask to see it run on your code. Get the answer in writing.

A short habit that prevents most of these

Write the success criteria before the trial, test on your own repositories, and keep notes on what you observed separate from what you were told. Then make the decision with the whole group.

Where Safeguard fits: Safeguard provides SBOM and dependency scanning with reachability analysis. The free scan at gold.safeguard.sh/scan runs on your own repository, which keeps the test honest.

Quick check

How many repositories should a trial include?

At least one per major language you ship, plus one large or complicated case. Three to five is typical.

Is a free tool a fair baseline?

Yes. Running a free tool on the same repositories shows what a paid tool actually adds.

Last reviewed: 19 October 2026.

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