A small team uses the same AI workspace for the app, the repo, the cloud account, and the workspace settings. A new deploy starts the loop again: hypothesis, test, evidence.
Find vulnerabilities. Prove their impact.
Continuous DAST on the product you deploy. A new route is a hypothesis you can test and attach to a finding.
Local code, GitHub, or GitLab. The next commit is the next pass through the path that handles the request.
AWS, Google Cloud, or Azure. A public bucket or open rule comes back with the resource as evidence.
Microsoft 365 or Google Workspace. Settings that change after the last look stay in the same loop.
The workspace does not issue a certificate. It keeps the reproduction steps and the proof of impact so a questionnaire has something dated behind it. You still write the policy and sit the interview.
Two accounts. Same order. Bodies match. Evidence stays on the finding for the next pass.
Evidence
These are first-party measurements. They are not a certificate timeline or a named customer study.
ResultThe public Attack Surface Scan maps subdomains, IPs, open ports, and visible products from outside in about two minutes. Trusteed reports 41k+ domains mapped on that scanner. The scan sends no packets into the target’s internal network.
MethodPassive and unauthenticated external reconnaissance from Trusteed’s scanners. Timing is wall-clock from submit to first report. Domain count is the cumulative first-party total on the free tool as of the date below.
Scope · September 2026Internet-facing hostnames. This is an outside view of the Web surface. It is not authenticated API testing, source review, cloud inventory, or workspace configuration.
Free Attack Surface Scan →Run the same scan on an apex domain →
ResultWe do not publish named before-and-after studies for startups, enterprises, or MSSPs. −71% is Trusteed’s IP-intel funnel (Sept 2026), not the outcome of a Web, Source, Cloud, or Workspace investigation.
MethodFirst-party IP enrichment funnel published on Trusteed IP pages.
Scope · September 2026Do not copy −71% into a business case. Do not cite an unattributed buyer-percentage as a Trusteed study.
Buying questions
A small team investigates the product it ships. The packages are the surfaces you connect: Web, Source, Cloud, and Workspace.
It fits a team that can name a production domain and a repo. You stay in the loop with the AI: hypothesis, test, evidence.
ExampleA six-person team connects the API, the GitHub repo, and one AWS account. A new route is tested with two accounts, and the matching responses stay on the finding.
You do not need every surface on day one. Connect the one a buyer or a deploy will ask about first.
| Package | Connect when |
|---|---|
| Web | The app or API is live |
| Source | The code is in a repo you can read |
| Cloud | You have an AWS, Google Cloud, or Azure account |
| Workspace | Microsoft 365 or Google Workspace is in scope |
A questionnaire still needs written policies and a human. The workspace supplies findings that show reproduction steps and impact.
Not a fitWrong buy for a pre-product idea with nothing deployed, or for a team that only wants a signed pentest PDF.
Connect the app, the repo, and the cloud account you already run. The investigation continues when they change.
