What matters first
- Choose techniques around the questions your product needs answered.
- A clean result applies only to the tool’s available context and coverage.
- Validate findings before treating alerts as confirmed business risk.
Understand what each technique observes
Static analysis can identify suspicious patterns in source without exercising the deployed application. Dynamic testing observes responses and behavior in a running environment. Software composition analysis helps identify components and relevant known-vulnerability information. None provides the same view as the other two.
Use the distinctions to identify blind spots. A code checker may not know your production authorization model; a dynamic tool may not reach an authenticated admin path; a dependency alert may not establish whether the affected function is used. Record those limits in the assessment plan.
| Technique | Primary view | Important limitation |
|---|---|---|
| SAST | Source-code patterns | Does not establish every deployed workflow or business rule |
| DAST | Running application behavior | Coverage depends on reachable paths, accounts, and test context |
| SCA | Components and advisory information | Component presence alone does not establish exploitability |
References: [1] GitHub, [2] npm, [3] OWASP
Match access and timing to the question
Code and dependency checks can provide feedback during development and pull-request review. Testing a running application requires a suitable environment, accounts, and agreed operational limits. Release and configuration reviews need evidence about the artifact and environment actually deployed.
For a multi-tenant feature, choose controlled users and records that express the intended ownership rule. For an advisory, inspect the resolved component and affected conditions. The technique should help answer the product question rather than become the goal of the assessment.
Validate alerts and reconcile conflicting results
A finding needs an affected component, prerequisites, supporting evidence, and an impact explanation. A static warning may be unreachable; a dependency alert may need configuration context; a dynamic observation may depend on an account state the reviewer has misunderstood. Validation turns these into useful decisions.
Keep unresolved questions visible. Tools may disagree because their inputs and coverage differ, not because one is universally correct. An AI-generated explanation can help triage, but it should not silently convert an uncertain alert into a confirmed vulnerability.
References: [6] GitHub, [3] OWASP
Build a feedback loop around confirmed issues
Route code defects, dependency updates, configuration changes, and product-policy decisions to their actual owners. Define how a fix will be verified with the appropriate technique and a workflow-level check where needed. Re-running the same tool can be useful but may not cover the underlying business boundary.
Retain concise evidence of coverage and exclusions. A practical security program combines quick repeated checks with focused assessment of high-value changes and periodic review of drift. The output should guide engineering work instead of producing a growing pile of unowned reports.
Your next steps
- List the security questions and affected workflows before choosing tools.
- Map code, runtime, dependency, and manual techniques to those questions.
- Validate high-impact findings and assign owners and retest criteria.
- Discuss the coverage your next application review needs.
Questions teams ask
Which method is always best?
There is no universal winner. Each observes different information, and the right combination depends on your application and review objective.
Can using all three guarantee no vulnerabilities?
No. Coverage, access, configuration, business context, and validation still determine what conclusions the assessment can support.
Sources and editorial notes
Public-source facts are cited above. The review questions and action plans are Cyphen’s guidance for applying those lessons to your own systems. Sources checked on .
- GitHub: About code scanning
- npm: Auditing package dependencies for security vulnerabilities
- OWASP: Web Security Testing Guide
- OWASP: Application Security Verification Standard
- NIST: Technical Guide to Information Security Testing and Assessment
- GitHub: Limitations of Copilot Agents and code review
- NIST: Cybersecurity Framework