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SAST, DAST and software composition analysis (SCA) answer different security questions, so they are complementary rather than competing tests. SAST inspects source code or build representations before execution. SCA inventories third-party libraries and versions and checks them against known risks. DAST sends requests to a running application, service or API and evaluates the responses. For most teams, the practical baseline is SAST and SCA in the development pipeline, followed by DAST in an isolated test or staging environment whenever a runnable interface exists. The right mix depends on what you build, which artefacts you ship, whether you control the source, and how much of the deployed behavior your tests can exercise.
What is the difference between SAST, DAST and SCA?
SAST examines code without running it, SCA examines the components incorporated into that code, and DAST examines the behavior of a deployed system. Their evidence, timing and blind spots differ, which is why using one as a substitute for the others leaves important coverage gaps.
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SAST (static application security testing) analyzes source code, bytecode or intermediate representations while the application is stopped. A scanner looks for patterns and data flows associated with security weaknesses, such as an unsafe path from an input to a sensitive operation. It can run in an IDE, on a commit, during a pull request or in continuous integration (CI), before a change is merged or packaged.
Because SAST can point to a file, line or code path, it gives developers an early remediation location. It does not, however, prove that a finding is exploitable in the deployed product. False positives and false negatives are possible, and reflection, generated code, dynamic configuration and complex flows can reduce coverage. Every finding needs review in the context of the application.
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SCA: software composition analysis
SCA (software composition analysis) identifies libraries, packages, frameworks and other third-party components in an application. It records which versions are present and checks them for known vulnerabilities, unsupported releases or required updates. SCA belongs wherever dependencies are resolved or assembled: package installation, the build, CI and ongoing monitoring of released software.
SCA answers “what components and versions do we use, and which known risks affect them?” It does not establish that proprietary business logic is safe, nor that a known vulnerable component is reachable through a particular runtime path. A dependency can be present but unused in production, or a vulnerable path can be reachable only under a configuration that a basic inventory does not capture.
DAST: dynamic application security testing
DAST (dynamic application security testing) interacts with a running application, service or API. It observes requests and responses or simulates attack inputs to determine how the external interface behaves. A scan therefore needs a deployed target, suitable routes and, for authenticated areas, test credentials and a safe environment.
NIST describes a DAST system as one that analyzes the running state of a software system through simulated known use cases or real-world attack vectors to identify defects or security vulnerabilities. The OpenSSF glossary notes that industry usage varies: some people use DAST only for web scanners, while broader definitions include fuzzers and other dynamic techniques. Define the scope explicitly when you set requirements.
How do SAST, DAST and SCA compare?
The following comparison shows what each method can observe and what a useful result looks like. None has a universally lower false-positive rate; the reviewed guidance provides no authoritative performance, cost or superiority ranking.
| Method | Evidence examined | Best placement | Access required | Primary question | Typical remediation evidence | Important blind spots |
|---|---|---|---|---|---|---|
| SAST | Source code, bytecode or intermediate representations | IDE, commit, pull request and CI | Source or build artefacts; no running service required | Does the code contain patterns or flows associated with weaknesses? | File, line, function or data-flow path to change | False positives and negatives; reflection, generated code, dynamic configuration and complex flows can reduce coverage |
| SCA | Libraries, packages, frameworks and other third-party components | Dependency resolution, build, CI and continuous monitoring | Dependency manifests, lockfiles, binaries or inventories | Which components and versions are present, and which known risks affect them? | Upgrade, replace, remove or constrain a dependency and record the affected version | Does not prove proprietary logic is safe or that a vulnerable component is reachable at runtime |
| DAST | Requests, responses and observed behavior of a deployed application, service or API | Test and staging environments, plus authorized operational testing | A running endpoint, routes, test data and often test accounts | How does the live interface react to attack inputs, and can a weakness be observed externally? | Request/response evidence, route, parameter, account context and configuration to correct | Cannot test a target that is not running; coverage depends on discovered and exercised routes; terminology varies |
Is software composition analysis the same as SAST?
No. SAST analyzes the code you write or build representations of it; SCA identifies code supplied by other parties and its known history of vulnerabilities. A project can pass a SAST policy while shipping a dependency with a published vulnerability, or have a clean dependency inventory while containing an insecure proprietary data flow.
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Do I need SAST, DAST or both?
If you own source code and deploy a reachable application, use both SAST and DAST, and add SCA when the product includes third-party components. If a method does not match the artefact you have, do not force it: DAST cannot scan an application that is not running, while SAST cannot observe a service’s response behavior.
Choose SAST first when you build the code
Start with SAST when your team controls source code, especially code that handles authentication, authorization, input parsing, secrets or sensitive data. Put feedback close to the change—in an IDE or pull request—then enforce a reviewed policy in CI. Treat the output as a triage queue, not an automatic vulnerability verdict.
Add SCA for every shipped dependency set
Use SCA when the build resolves open-source or commercial packages, frameworks, containers or other third-party components. Record the exact versions from manifests and lockfiles, check them during the build, and continue monitoring after release because a component’s risk can become known later. Proprietary code does not make SCA optional; mixed codebases need both analyses.
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Add DAST when there is a representative running interface
Use DAST for a web application, API, service or other deployed target that can be exercised safely. Run it against an isolated test or staging deployment with representative routes and dedicated test accounts. A scan that reaches only a public landing page cannot support a conclusion about authenticated workflows or administrative functions.
Use all applicable layers for release assurance
When a release contains source code, dependencies and a deployable interface, combine the methods. The Australian Cyber Security Centre’s Information Security Manual, ISM-2028, says that software artefacts should be tested with “static application security testing (SAST), dynamic application security testing (DAST) or software composition analysis (SCA), depending on the software artefact type,” before they are imported into the authoritative source. ISM-2102 calls for periodic testing throughout the software development life cycle. These controls support a risk-based combination rather than a rule that every artefact must receive every scan.
Where should each test run in a CI/CD pipeline?
Place the fastest, most local checks earliest, then use deployed testing once a usable environment exists. The exact gates depend on build time, application risk and the team’s ability to investigate findings.
| Pipeline point | Useful activity | What to verify | Failure handling |
|---|---|---|---|
| Developer workspace | SAST feedback and dependency checks | The changed code and newly selected packages are covered before review | Fix obvious defects; mark only reviewed, justified exceptions |
| Pull request | Targeted SAST and SCA policy checks | New high-risk findings and dependency changes are visible to reviewers | Require remediation or an approved exception before merge |
| Build and package | Full SAST analysis and dependency inventory | The artefact actually being produced matches the scanned source and lockfiles | Stop publication when policy requires; preserve the report with the build |
| Test or staging deployment | DAST against known routes and authenticated test flows | The running configuration, headers, access controls and input handling behave as intended | Reproduce with the recorded request, correct the code or configuration, then rescan |
| After release | SCA monitoring and periodic authorized dynamic testing | Newly disclosed component risks and changes in deployed behavior are tracked | Patch, roll back, restrict exposure or document a time-bound exception |
Keep build provenance with the result: commit or artefact identifier, dependency lockfile, scanner scope, configuration, environment and time. Without that context, a later reviewer cannot tell whether a clean result covered the version that was actually shipped.
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- Deploy an isolated target. Use a test or staging environment whose data, queues, email and payment integrations cannot harm production. If the only available target is operational, obtain explicit authorization and define rate, time and route limits.
- Define the scope. List hostnames, API base paths, allowed methods, excluded destructive actions and the test window. Decide whether your definition includes only web scanning or also broader dynamic techniques such as fuzzing.
- Create representative accounts and data. Provide non-production users for anonymous, ordinary, privileged and, where relevant, tenant-separated flows. Seed records that let the scanner reach meaningful read and update paths without exposing real personal data.
- Make routes discoverable. Supply an API description, crawl map or authenticated navigation plan when available. Record which routes were intentionally excluded so an absence of findings is not mistaken for coverage.
- Run with controlled credentials and limits. Use secrets that can be revoked, monitor resource use and prevent the scan from sending messages, placing orders or deleting records. Capture the exact requests and responses for findings.
- Validate and retest. Confirm that a reported behavior is reproducible, identify whether it comes from application code, configuration or a dependency, remediate it, and rerun the same scope. A DAST report is evidence about the tested deployment, not a blanket statement about every version.
What can SAST, SCA and DAST miss?
SAST interpretation errors
- A tainted-data path may be flagged even when an effective control exists elsewhere, creating a false positive that requires code review.
- Reflection, generated code and runtime configuration can hide a path from the analyzer, producing a false negative.
- Build-time transformations can make the scanned source differ from the executable artefact. Scan the representations that matter and retain their relationship.
SCA context gaps
- An inventory may identify a vulnerable package without showing whether the vulnerable function is reachable in your configuration.
- Transitive dependencies can change when a lockfile is regenerated, so compare exact versions rather than relying on a top-level package name.
- A component advisory does not replace review of your own authorization, input validation or business rules.
DAST coverage gaps
- Unlinked routes, background jobs, message consumers and difficult-to-reach authenticated workflows may never be exercised.
- Environment-specific feature flags, identity providers and data states can change the observed behavior.
- A clean scan means no issue was observed within the defined scope and test conditions; it is not proof that the implementation is defect-free.
How should findings be triaged and fixed?
Start by preserving the evidence that makes the result actionable, then assign the fix to the right layer.
| Finding type | First questions | Likely fix path |
|---|---|---|
| SAST | Is the data flow real? Is the code generated or transformed? Which input and sink are involved? | Correct the code or validation, add a regression test, and suppress only with a written rationale |
| SCA | Which exact component and version are present? Is it direct or transitive? Is the affected feature enabled? | Upgrade, replace, remove or constrain the component; if no immediate fix exists, apply a compensating control and set a review date |
| DAST | Which route, method, parameter, account and deployment produced the behavior? Is it reproducible? | Correct application logic, configuration or infrastructure, then retest the same authenticated and unauthenticated paths |
Do not collapse different evidence types into a single severity number without context. A package advisory, a source-code path and an externally observed response each describe a different part of the risk. Correlating them can improve prioritization, but a match is not proof that a runtime exploit exists.
What does current guidance say about these methods?
OWASP’s developer guidance distinguishes the methods by execution state: SAST examines source or compiled/intermediate representations without running the application, SCA identifies vulnerabilities in libraries and third-party dependencies, and DAST tests an application while it is running. OWASP’s DevSecOps Verification Standard describes SCA as scanning source code to identify libraries, dependencies and other third-party components.
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The Australian Cyber Security Centre’s Information Security Manual was published and reviewed on 7 September 2026. Its ISM-2028 control ties the choice of SAST, DAST or SCA to the software artefact type, while ISM-2102 expects periodic testing during the life cycle. Together, these sources support layered, artefact-aware testing rather than a one-tool compliance shortcut.
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What is a practical minimum program for a small team?
A small team can establish useful coverage without waiting for a large security organization. Make the scope explicit, preserve evidence and increase depth as the product gains interfaces and dependencies.
- Inventory what you ship. Identify source repositories, build artefacts, dependency manifests and every deployed web, API or service endpoint.
- Put SAST and SCA in the normal build path. Begin with pull-request visibility, then add CI policies for findings that your team has agreed must block a release.
- Maintain an exception process. Record why a finding is not being fixed immediately, who accepted the risk, what compensating control exists and when it will be revisited.
- Create a safe dynamic environment. Mirror important authentication and authorization paths with synthetic data, and define the DAST scope before running it.
- Schedule periodic reassessment. Re-run dynamic tests after significant routing, identity or infrastructure changes, and monitor dependencies between releases for newly disclosed issues.
This approach avoids two common mistakes: treating a static report as proof that the deployed service is safe, and treating a dynamic scan of a narrow route set as proof that every code path and dependency is covered.
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Frequently Asked Questions
Can I use DAST if my product is only an API?
Yes. DAST can target an API as long as it is deployed and the test can send authorized requests. Provide an API description or route list, test credentials and representative request bodies; otherwise the scanner may cover only a small fraction of the interface.
Should dependency findings block every build?
Not automatically. Decide the blocking rule using the exact component version, affected feature, available upgrade and exposure, then document time-bound exceptions when an immediate fix is unavailable. A blanket block can encourage unsafe suppression if teams cannot distinguish reachable risk from an unused package.
How often should a running application receive dynamic testing?
Run it before releases in which the interface or security configuration changes, and periodically during the software development life cycle. The interval should reflect change rate and risk; the cited ISM-2102 guidance requires periodic testing but does not prescribe a universal number of days.
What evidence should be retained after a security scan?
Keep the scanned commit or artefact identifier, dependency lockfile, scanner configuration, target environment, route or package scope, timestamps and the disposition of each finding. For DAST, retain reproducible requests and responses without storing real secrets or personal data.
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