Your payments team just shipped a change to checkout. Release goes out Friday.
The only question anyone is asking is simple, "Is checkout still safe?"
A full DAST scan can't answer that quickly. It crawls hundreds of pages you didn't touch, may never reach the flow you did, and hands you a findings list nobody can tie back to the release.
Business scenario testing fixes that. It runs dynamic application security testing on one specific, multi-step user flow, such as checkout or invoice approval, instead of the whole application.
In Siemba's AI-native DAST, you describe the flow in plain English, an AI browser agent walks through it in a real browser, and the DAST engine tests only the endpoints that flow touches.
A full scan crawls every reachable page and tests every endpoint it finds. That breadth is useful.
But when you've shipped one change and need a clear answer, it gets in the way in three ways.
It tests far more than you changed
Large applications have hundreds of modules owned by different teams. When payments ships an update, payments needs its flow tested, not the HR portal and the help centre too.
It may never reach the flow you care about
A crawler follows links. It can't know that the refund page only appears after an order is placed, paid and marked delivered. The deeper and more multi-step the flow, the more likely the crawler stops short.
The results don't map to your release
You asked one question: is the flow we just changed safe? A whole-application findings list makes you dig for that answer instead of handing it to you.
That's the usual workaround:
Record a browser session in a tool like Selenium, export the script, upload it to the scanner.
It works, until the UI changes.
Recorded scripts replay fixed selectors and fixed steps. Rename a button, add a modal or redesign a form, and the script breaks. Someone has to re-record it.
Most teams know how this ends.
The scripts stop being maintained, and scoped testing quietly stops with them.
|
Full DAST crawl |
Recorded script upload |
Siemba |
|
|---|---|---|---|
|
Scope |
Entire application |
One recorded flow |
One described flow |
|
How the flow is defined |
Automatic crawl |
Selenium recording |
Plain-English description |
|
Reaches deep multi-step flows |
Often not |
Yes, until the UI changes |
Yes |
|
Survives UI changes |
Yes |
No, must re-record |
Yes, the agent reads the page |
|
Maintenance effort |
Low |
High |
Low |
|
Results map to one flow |
No |
Yes |
Yes |
You go from a sentence to a scoped, repeatable security test in six steps. You stay in control at every point that matters.
1. Describe the flow the way you'd explain it to a colleague
For example: "Log in as a customer, search for a product, add it to the cart, apply a coupon code, and proceed to checkout." No scripting, no selectors.
2. GenPT checks if it makes sense
An AI guardrail confirms the description is a real, navigable business flow, not a vague instruction or an attempt to misuse the system.
3. You approve the steps before anything runs
A second AI step turns your description into a numbered list of navigation steps. You review and confirm them, so the test never does something you didn't sign off on.
4. An AI agent walks the flow like a real user
The agent opens your application in a real browser and performs the confirmed steps. Because it reads the page instead of replaying fixed selectors, minor UI changes don't break the run. You can watch progress in real time, and every run is captured with screenshots and a recording.
5. Only your flow's endpoints stay in scope
Every request made during navigation passes through Siemba's DAST engine. An AI filtering step then removes endpoints that only help you get there, such as login or category browsing, so only the scenario's own endpoints are tested.
6. DAST does what it does best
The engine runs its full rule set against that scoped set. Findings land in your Siemba dashboard with the same AI enrichment and reporting as any GenPT test, tied to the scenario that produced them.
No, and the difference matters when you need answers you can compare.
Agentic pentesting lets AI agents explore an application creatively, hunting for novel attack paths. That makes it probabilistic by design. Business scenario testing keeps the deterministic, repeatable behaviour of DAST and uses AI only to define and reach the scope.
You think in flows, not endpoints: checkout, refunds, approvals. Business scenario testing points DAST at exactly the flow that changed and gives you consistent results every run.
That's what you need for change validation, regression checks on high-risk flows, and audit evidence that has to line up release after release.
It's built for you if:
It complements full-application scans rather than replacing them.
Full scans give you breadth across the application; business scenarios give you depth on the flows that carry the most risk.
For the APIs behind those flows, see Siemba's guide to API security testing.
Shipping soon? Test what changed.
Run business scenario testing on just the flow you touched, with Siemba.
Business scenario testing is a form of DAST that tests one specific, multi-step user flow, such as checkout or account recovery, instead of the whole application. You describe the flow in plain English, an AI browser agent navigates it, and only the endpoints that flow uses are tested.
A full DAST scan crawls and tests every reachable endpoint in the application. Business scenario testing skips the crawl, follows only the flow you define, and tests only the endpoints that flow touches, so the results map directly to that flow.
No. Regression testing re-runs existing tests after a change to confirm that features still work. Business scenario testing is a security test that looks for vulnerabilities in one flow. Because a saved scenario reruns the same steps against the same endpoints with the same rules, it works as a security regression check, showing whether a release introduced a new vulnerability into a flow that was clean before.
No. Siemba GenPT builds the test from your plain-English description. An AI browser agent does the navigation, so there's no script to record, upload or re-record when the UI changes.
It finds technical vulnerabilities, such as injection or misconfiguration issues, inside a business flow that a crawler might never reach. Logic-abuse flaws, such as reusing a one-time coupon or skipping a payment step, depend on application-specific rules; the OWASP Web Security Testing Guide notes that this class "cannot be detected by a vulnerability scanner." Siemba covers those cases through expert-led penetration testing.
Each test covers one scenario. If reaching it requires earlier steps, such as logging in or adding an item to the cart, the agent performs those steps, but only the selected scenario's endpoints are tested. Connected flows like "add to cart" and "checkout" run as separate tests.
Yes. Save a scenario once and rerun it on every release. You see its steps before each run, and each run starts a fresh browser session, so results reflect the current build.
Ready to test the flow you just shipped? Describe it in one sentence and watch Siemba turn it into a scoped security test. Try it now.