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GUIDES/The workspace

What is the AI Pentesting & Security Research Workspace?

It is where a researcher and AI share the live application, the source, the cloud account, and the workspace settings. A change starts the same loop again: hypothesis, test, evidence.

Find vulnerabilities. Prove their impact.

The short answer

Security research stays open because the surface keeps changing.

A one-time scan answers what was true that afternoon. The workspace keeps four surfaces connected: Web for applications and APIs, Source for local code, GitHub, and GitLab, Cloud for AWS, Google Cloud, and Azure, and Workspace for Microsoft 365 and Google Workspace. When one of them changes, you investigate again and the finding keeps the proof.

01

See the surface

Decide what is in scope from the app, the repository, the account, and the suite.

02

Investigate with AI

State the hypothesis, run the test, and read the result in the same thread.

03

Keep the evidence

Reproduction steps and proof of impact stay on the finding for the next pass.

Find vulnerabilities. Prove their impact.

Connect one surface. The investigation continues when it changes.

FAQ

Frequently asked questions

What the AI Pentesting & Security Research Workspace is, and how a continuous pass works.

See the workspace →
What is the AI Pentesting & Security Research Workspace?

It is the place a researcher and AI pentest a live application, source code, a cloud account, and workspace settings. A change starts the same loop: hypothesis, test, evidence. The outcome is a finding that shows impact.

Which surfaces stay connected?

Web for applications and APIs, Source for local code, GitHub, and GitLab, Cloud for AWS, Google Cloud, and Azure, and Workspace for Microsoft 365 and Google Workspace.

Does a scan replace the workspace?

A scan can list known issues. The workspace is for investigating a specific hypothesis and keeping the proof. Use both when you need a broad catalog and a finding that shows impact.