The real workflow
Where Cursor enters the work
A freelance coding agent may read a client repository, run commands, edit files, and use local credentials from the same working environment.
Cursor combines an AI editor with codebase context, indexing, agent features, model providers, extensions, web search, and optional background or connected tools.
Cursor can use open files, workspace context, codebase indexes, agent tools, and local project data to answer and act.
Privacy Mode affects data use and retention, but it is not the same as a repository access boundary. Users still need to control workspaces, indexing, ignored paths, extensions, tools, and commands.
The presence of this path does not prove an incident. It identifies the boundary that should be checked before more sensitive context or authority is added.
Tool-specific boundary
Inspect the real access points.
What may carry context
open files and editor context
codebase indexing and embeddings
agent commands, extensions, web search, and MCP tools
Settings to verify
Privacy Mode and codebase indexing
.cursorignore and workspace scope
Agent, extension, web, network, and MCP permissions
Why this context matters
The consequence for freelancers
A freelancer carries both the delivery risk and the trust risk when one convenient AI workflow mixes personal accounts with confidential client work. In this case, for professional work, the same access can reveal contracts, pricing, unpublished plans, internal discussions, customer records, or source material covered by confidentiality obligations.
The risk is not that an AI assistant can magically see an entire device. The risk begins when a file is uploaded, a folder is granted, a project is indexed, or a connected service makes private material retrievable.
Each client has a clear access boundary, sensitive inputs are minimized, and the freelancer can explain the controls without exposing the underlying data.
Context decision
Three questions before adding access
Did the client approve this tool, account type, and category of information for the stated task?
Can names, credentials, production records, or unpublished work be replaced with a synthetic example?
Does this account and connected workspace belong to the correct client rather than a personal or reused environment?
Evidence goal: Keep a client-by-client access note that records authorization, approved tools, data limits, account ownership, and the deletion or handoff step.
A repeatable review
Four steps, no sensitive data required
- 1
Write down the exact Cursor account, workspace, project, device, and connected service used in this workflow.
- 2
Review the workspace root, indexed codebases, Privacy Mode, and ignored paths without assuming the open tab defines scope.
- 3
Assign the decision and next review to the freelancer responsible for the client account; do not leave the access boundary as an unwritten assumption.
- 4
Split sensitive folders from the workspace and add explicit ignore and deny rules. Record the result without copying private content or raw credentials into the report.
Controls to apply
Reduce access before adding trust
Split sensitive folders from the workspace and add explicit ignore and deny rules.
Separate sensitive work from ordinary AI-ready material before granting access.
Prefer the smallest folder, file, or project scope that completes the task.
Remove stale uploads and connections, then document who should review access again and when.
Decision rule
Know when a formal baseline is justified
If the tool only receives public or disposable material, use the free checklist. If it can reach recurring private work, repositories, or client files, create a documented access baseline before the next sensitive task.
CapitalGuard is relevant when the workflow includes repositories, recurring private work, credentials, connected systems, commands, or evidence that must be shared with another person. It does not inspect this account from the page or guarantee that an incident cannot occur.
Primary references