A two week PoC cannot tell you how the scanner behaves at full scale, over months, through upgrades, or across every team's repos. It shows fit on a sample. Write those blind spots in your memo, and turn each into a follow up check after adoption.
What a PoC does tell you
In ten working days on three to five repos you can learn whether the scanner detects your ecosystems, how accurate a sample of findings is, whether developers can use the output, and how long scans take on a pull request. That is valuable and enough to make a first decision.
The limits
| Question | Why two weeks cannot answer it |
|---|---|
| Will noise stay manageable over months? | New advisories keep arriving after the trial ends |
| Does it scale to all repos? | You tested a handful |
| How good is support after the sale? | Trial support is not contract support |
| What happens at an upgrade? | You rarely see a major release in two weeks |
| Do teams outside the pilot adopt it? | Pilot developers are volunteers or picked |
| How stable is the data over time? | You see only a short window of advisories |
| Is it right for rare stacks? | Your sample may not include them |
Selection bias
PoC participants are usually your more engaged people. If they find the tool hard to use, that is a loud warning. If they like it, the average team might not. Treat a positive result as an upper estimate of adoption.
The short window problem
Two weeks gives you a snapshot of vulnerability data, plus whatever new advisories land in that period. It does not show how a policy behaves when a big advisory drops on a Friday. You can partly address this by seeding a throwaway branch with a recently disclosed issue and watching how long the scanner takes to report it, as in our freshness test.
Turn gaps into a follow up plan
For each blind spot, add a post adoption check with an owner and a date.
- Month one: review noise level and suppression counts.
- Month two: add the next batch of repositories and compare results with the pilot ones.
- Quarter one: review support responsiveness against what you were told.
- At each vendor release: read release notes and rerun your canary tests.
Write a what we did not test section
In your memo, a short list is enough: container images, infrastructure code, languages not in the sample, private registries at scale, long term cost. It signals honesty and gives the decision maker a fair view. It also protects you if a gap bites later, because the risk was disclosed up front.
Do not oversell the result
Avoid statements such as "the scanner works for our company". Prefer "on three repos covering these languages, it met these pass marks." The narrower claim is the true one, and it holds up when someone asks a hard question.
When to extend
Extend the PoC only if a specific gap can be closed within a few days and the answer would change the decision. Otherwise decide, and use a staged rollout to learn the rest.
Try it yourself
Open the demo and imagine this filter applied across all of your repos, then ask which of those results a two week sample would not have shown you.
Click through it at your own pace, or open it full screen.
Quick check
Is a longer PoC always better?
No. After about two weeks the new information drops off. A staged rollout teaches more than a longer trial.
Should we tell leadership about these limits?
Yes. A short list of untested areas builds trust and sets a realistic plan.
Safeguard offers SBOM and dependency scanning with reachability analysis, and you can try a free scan at gold.safeguard.sh/scan before you plan a longer test. The CLI, desktop app and IDE extensions are listed on safeguard.sh/download.
Last reviewed: 19 October 2026.
