“ChatGPT extension” is a common search term, but the current product terminology centers on apps, plugins, connected app accounts, and custom MCP-based integrations. These capabilities can read information or perform supported actions in external services depending on provider authorization, workspace controls, and app permissions. That makes them valuable productivity tools—and a new delegated-access boundary that security teams should inventory and govern.
What “ChatGPT extensions” mean in the current product
In current ChatGPT documentation, external capabilities are exposed through apps and plugins. An app may connect ChatGPT to a service such as Google Drive or Slack, while a plugin can package skills and one or more connected apps. Custom MCP apps can also expose tools to ChatGPT. The exact options vary by plan, region, workspace, and rollout.
The terminology matters because security controls are layered. Installing a plugin does not itself grant access to a third-party account. Provider authorization, app capabilities, workspace policy, and action permissions still determine what data or actions are available.
Understand where data can cross trust boundaries
When a connected app is used, relevant conversation context may be sent to that app or external service to fulfill the request. External APIs used by GPTs or apps can also receive relevant portions of user input. That information is then subject to the third party’s terms and privacy practices.
- Avoid sending secrets, customer records, or regulated data to apps unless the service is approved for that data class.
- Review what context the app needs rather than assuming the entire conversation is necessary.
- Treat app output as untrusted data that can influence later reasoning.
- Review retention, regional processing, and logging expectations for third-party services.
- Disconnect apps that are no longer actively required.
Treat write actions as a higher-trust capability
Read access and write access should not share the same risk tier. A read-only app can expose information; a write-capable app may also send messages, create or modify records, change files, or trigger external workflows. Current ChatGPT permissions can require approval depending on action type and configuration, and especially risky actions may be blocked.
| Action type | Example | Recommended posture |
|---|---|---|
| Read | Search files or messages | Allow only approved sources; preserve source permissions |
| Low-risk write | Create a draft or noncritical note | Allow with scoped account and audit trail |
| External communication | Send message or update shared record | Require confirmation in most workflows |
| Sensitive action | Delete, publish, transfer, change permissions | Strong approval and deterministic policy |
Prompt injection becomes more serious when tools can act
A malicious document, message, webpage, or tool response can contain instructions designed to manipulate an AI system. If the same conversation has access to a powerful connected account, prompt injection can become an action-layer problem rather than merely a bad answer.
- Use only trusted apps and MCP servers.
- Keep write-capable tools narrowly scoped.
- Do not let retrieved content redefine authorization policy.
- Require confirmation for external or high-impact actions.
- Restrict the underlying provider account so a successful manipulation still has limited reach.
- Monitor unusual sequences such as a read from one system followed by an unrelated external write.
Enterprise controls should begin with inventory
Security teams should know which apps and plugins are enabled, which users have connected accounts, what provider scopes were granted, and which integrations can modify external systems. Custom or developer-mode MCP integrations deserve extra review because organizations are responsible for evaluating the safety and suitability of what they deploy.
Inventory
App, provider, owner, connected account type, scopes, data classes, and allowed actions.
Approval
Business purpose, vendor review, data handling, and whether write actions are needed.
Monitoring
Connection changes, tool use, sensitive actions, and anomalies in downstream APIs.
Offboarding
Disconnect access when employees change roles, vendors are removed, or the workflow ends.
Use the smallest third-party account that can do the job
Connecting a broadly privileged administrator account creates a much larger blast radius than connecting a purpose-built account with access to one project or folder. The AI layer should not become a shortcut around the provider’s own least-privilege model.
- Choose the correct work or personal provider account before authorizing.
- Grant only the services and scopes required.
- Prefer read-only or limited accounts for analysis tasks.
- Keep administrative credentials separate from ordinary AI workflows.
- Review connected accounts and permissions periodically.
- Revoke access immediately when the integration is no longer needed.
A practical security checklist for ChatGPT-connected apps
- Inventory enabled apps, plugins, custom connectors, and MCP servers.
- Review provider OAuth scopes and source-account permissions.
- Use workspace allowlists or approval workflows for enterprise deployments.
- Default to confirmation for state-changing actions.
- Classify which data types may be used with each app.
- Treat third-party output and retrieved content as untrusted.
- Use least-privilege service identities where shared automation is required.
- Log and investigate sensitive actions and unexpected cross-app workflows.
- Test offboarding and token revocation.
- Re-review integrations when app capabilities or permissions change.
Frequently asked questions
Can a ChatGPT app access everything in my third-party account?
Only what the connected provider account and granted authorization allow, subject to the app’s capabilities and workspace controls. If the source account is highly privileged, the potential accessible scope may also be broad.
Does installing a plugin automatically connect my external account?
No. Installation does not bypass provider authorization or workspace approval. Apps that require account access still need an applicable connection and authorization flow.
What is the difference between app permission and OAuth permission?
OAuth or provider authorization determines what access exists at the external service. ChatGPT app permission determines when ChatGPT can use supported access and when it asks before acting.
Are third-party apps a prompt-injection risk?
They can be. Untrusted data returned by an app may influence an AI system, so tools with powerful write or data-access capabilities should be scoped and governed accordingly.
What should enterprises review first?
Start with enabled apps, connected account types, provider scopes, write-capable actions, data classifications, custom MCP servers, and offboarding/revocation processes.
Sources and further reading
- OpenAI — Connected apps in ChatGPT — current app, permission, and data-sharing behavior
- OpenAI — Connecting and managing app accounts — provider authorization and account-selection guidance
- OpenAI — Plugins in ChatGPT and Codex — current plugin and app model
- OpenAI — Developer mode and MCP apps — security considerations for custom and MCP apps
- OpenAI — GPTs in ChatGPT — external API and app data-sharing considerations
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