Claude CodePrivate file accessAgencies

Claude Code Private file access for Agencies

Claude Code private file access guide for agencies: verify the access path, run a safe check, and apply evidence-backed controls.

CapitalGuard Security ResearchUpdated July 14, 2026Primary-source review

The direct answer

Claude Code can read project files and, depending on permissions, may read beyond the working directory even when writes are narrower. For agencies, the useful question is whether that path exists in the current workflow and who controls it.

Open Core Evidence

The real workflow

Where Claude Code enters the work

An agency coding agent can cross client boundaries when repositories, terminals, credentials, caches, or sessions are reused between engagements.

Claude Code is a local or cloud coding agent with file, command, network, MCP, and editing capabilities governed by permissions, sandboxing, trust, and account settings.

Claude Code can read project files and, depending on permissions, may read beyond the working directory even when writes are narrower.

Claude Code only has the permissions granted to it, but broad read access, bypass modes, unsandboxed commands, or overpowered MCP servers can make that boundary much wider than expected.

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

repository and local file reads

edits and Bash commands

network access, MCP servers, hooks, and cloud environments

Settings to verify

Permission mode and deny rules

Filesystem and network sandbox

Trusted directories, MCP servers, hooks, and unsandboxed escape paths

Why this context matters

The consequence for agencies

Agency risk compounds when staff, contractors, shared tools, and reused credentials create paths between otherwise separate client environments. In this case, for professional work, the same access can reveal contracts, pricing, unpublished plans, internal discussions, customer records, or source material covered by confidentiality obligations.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.

Every client remains isolated, access is attributable to a named operator, and the agency can deliver consistent evidence without revealing another client.

Context decision

Three questions before adding access

Can this operator or tool reach any repository, mailbox, drive, cache, token, or transcript belonging to another client?

Are credentials and AI sessions issued per client and person rather than shared across the agency?

Can the agency deliver useful proof to this client without including another client's names, paths, findings, or configuration?

Evidence goal: Create a separate client evidence record covering operator identity, workspace isolation, credentials, approved systems, review history, and delivery status.

A repeatable review

Four steps, no sensitive data required

  1. 1

    Write down the exact Claude Code account, workspace, project, device, and connected service used in this workflow.

  2. 2

    Inspect the launch directory, additional directories, Read deny rules, sandbox boundaries, and trusted-directory state.

  3. 3

    Assign the decision and next review to the client service owner or agency security lead; do not leave the access boundary as an unwritten assumption.

  4. 4

    Start inside a dedicated project and deny home, credential, client, and unrelated workspace paths. Record the result without copying private content or raw credentials into the report.

Controls to apply

Reduce access before adding trust

Start inside a dedicated project and deny home, credential, client, and unrelated workspace paths.

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

Trace every recommendation.

Your next evidence step

Turn this check into a real repository baseline.

Starter gives one authorized repository scan, a redacted report, preventive controls, and the customer delivery kit.

Review Starter