Each method needs different input. Dependency scanning needs manifests or lockfiles. Static analysis needs source, sometimes a working build. Dynamic scanning needs a running app. Interactive testing needs an instrumented app plus test traffic. Fuzzing needs a runnable target and a way to feed it inputs.
Why inputs decide your options
Teams often pick a testing method by reputation and then discover they cannot feed it. A static scanner that cannot compile the project, or a dynamic scanner pointed at an environment with no test data, produces little. Looking at inputs first saves a failed pilot.
The input map
| Method | Needs | Typical blocker |
|---|---|---|
| SCA | Manifests, lockfiles, or an image | Missing lockfiles, private registries |
| SAST | Source code, often a buildable project | Code that will not compile in CI |
| DAST | A running app, a URL, usually test accounts | No stable staging environment |
| IAST | An instrumented running app and something exercising it | Agent support for your runtime, thin test suite |
| Fuzzing | A target function or program and a harness | Writing the harness, structured input formats |
OWASP's source code analysis page makes the build point directly: many static tools struggle with code that cannot be compiled, and analysts often need the right libraries, compilation instructions and all required code. Its IAST guidance describes sensor modules included in the application, tracking behaviour while tests run. Its fuzzing page describes sending malformed or unexpected input to a program.
Questions to ask your own setup
- Do we have lockfiles committed for every service? If not, fix that before buying anything.
- Can the project build from a clean checkout inside CI? If not, static analysis will be hard.
- Is there a stable environment with realistic test data and accounts? If not, dynamic scanning will be shallow or risky.
- Do automated tests exercise the main user paths? If not, interactive testing has little to observe.
- Is there a parser, protocol handler or file importer? That is a natural fuzzing target.
Write the answers down. The method whose inputs you already have is the cheapest to adopt this quarter.
Common input problems and fixes
- No lockfile: generate and commit one. Scanning a loose range of versions guesses at what you ship.
- Build only works on one laptop: containerise the build so CI can reproduce it.
- Staging has no data: seed a small, fake data set and a few test users per role.
- Tests are thin: start with the paths that touch money, identity and personal data.
- Fuzzing target is unclear: pick the code that parses untrusted bytes first.
Where Safeguard fits
Safeguard works from the first row of the table: SBOM and dependency scanning from manifests, lockfiles and container images, with reachability analysis and gates on top. Because the input is files you already have, you can try a free scan at https://gold.safeguard.sh/scan without standing up an environment.
Try it yourself
Click through it at your own pace, or open it full screen. See how an inventory is produced from files alone, with no running app.
Quick check
Which method has the lowest input barrier?
Dependency scanning, because lockfiles and manifests usually already exist in the repository.
Why did our dynamic scan find almost nothing?
Common causes are no login, no test data, or a crawler that cannot reach routes. Check the inputs before judging the method.
Sources
- OWASP Source Code Analysis Tools
- OWASP DevSecOps Guideline: Interactive Application Security Testing
- OWASP Fuzzing
- OWASP Vulnerability Scanning Tools
Last reviewed: 19 October 2026.
