checklist

AI browser extension risk scoring matrix

A practical scoring matrix for rating AI browser extensions by permissions, data access, OAuth scopes, automation behavior, vendor risk, deployment scope, and offboarding complexity.

Audience: Startup founders, IT owners, Google Workspace admins, operations leads, and security-conscious managers approving AI browser extensions Risk: High Evidence: Chrome extension permission documentation, activeTab and match pattern documentation, Chrome Enterprise extension policies, Google Workspace third-party app access controls, and Cybergiz browser-extension approval templates

Use this matrix before approving an AI browser extension for a team, not after it has already spread across every laptop.

The score is not a legal or compliance opinion. It is a fast operating tool for deciding whether an extension should be allowed, restricted to a pilot group, or blocked until a stronger business case exists. If the result is unclear, run the extension through the AI Tool Risk Checker and record the decision in the Small Team AI Security Checklist.

Bottom line

An AI browser extension becomes high risk when it combines broad page access, sensitive work apps, OAuth access, automation, weak vendor signals, and loose offboarding. A narrow extension that runs only after a user click on one approved domain is a different risk from an assistant that can read every page, connect to Gmail or Drive, and act across customer systems.

Use the total score for the normal decision, then apply the critical triggers as overrides.

Scoring levels

ScoreMeaningDefault decision
0No meaningful browser or account data access.Allow if there is a real business use case.
1Limited, user-triggered, low-sensitivity access.Allow with an owner and review date.
2Narrow but persistent access or moderate business data.Restrict to the relevant role or host.
3Broad access to sensitive business systems or persistent automation.Pilot only with admin review and logging.
4Critical access to all sites, regulated data, account systems, source code, finance, HR, admin consoles, or weak vendor/offboarding controls.Block unless leadership records an exception.

Score each dimension from 0 to 4, then add the six scores.

Risk scoring matrix

Dimension01234
Permission scopeNo page access.activeTab or equivalent user-triggered access on one approved page.Limited host permissions for approved work domains.Persistent access to several work apps.Broad host access such as all HTTP/HTTPS sites, file URLs, incognito access, or sensitive browser APIs.
Data sensitivityPublic pages only.Low-sensitivity internal pages.Routine customer or operations data.Customer records, support tickets, private docs, CRM notes, or meeting transcripts.Password manager, SSO, admin, finance, HR, regulated data, source code, production, Gmail, Drive, or Docs at scale.
OAuth and connectorsNo OAuth or connected app.Basic sign-in only.Read-only scope for one approved app.Write scopes or access to customer/support systems.Gmail, Drive, Docs, CRM, Slack, source-control, password-manager, or admin scopes without narrow limits.
Automation behaviorPassive helper with no data export.User-clicked summary or rewrite.Copies selected data into an AI service.Agentic actions, auto-fill, auto-send, auto-update, or cross-app workflows.Can submit forms, send messages, alter records, trigger workflows, or operate without clear human confirmation.
Vendor and update riskKnown vendor, clear policy, enterprise controls, stable update history.Known vendor with acceptable documentation.Small vendor but clear privacy/security docs and support channel.Thin documentation, unclear subprocessors, or frequent permission changes.Unknown vendor, no useful policy, suspicious update history, or no way to identify support/security owner.
Deployment and offboardingOne test user, easy removal, no account connection.Small role group with owner.Department deployment with allowlist record.Many users or multiple roles; OAuth and extension removal both required.Broad deployment, unmanaged installs, no inventory, no offboarding owner, or hard-to-revoke account connections.

Permission score

Start with the Chrome extension permissions, then inspect host permissions and content script match patterns. Chrome documents separate permission areas such as permissions, optional_permissions, content_scripts.matches, host_permissions, and optional_host_permissions; host permissions can allow an extension to interact with matching URLs.

Use this quick rule:

Permission patternSuggested scoreNotes
No content scripts, no host permissions0Still check OAuth and vendor risk.
activeTab only1Chrome describes activeTab as temporary access after a user invokes the extension.
One approved host, such as the public website CMS2Require a business owner and renewal date.
Multiple sensitive work hosts3Use a pilot group and a host allowlist.
All URLs, file URLs, incognito access, cookies, tabs, webRequest, or broad content scripts4Treat as a critical trigger when paired with sensitive data.

Do not score only from the Chrome Web Store permission label. Open the extension details, review the manifest when possible, and compare it to the pre-install review workflow.

Data access score

The same permission can mean different things depending on where employees use it. A summarizer on public web pages is not the same risk as a summarizer on Gmail, Google Docs, a CRM, or a password manager.

Data exposed in normal useSuggested scoreApproval rule
Public web pages0-1Allow if the extension does not export hidden page data.
Internal wiki or process docs1-2Restrict to role and purpose.
Support tickets, sales notes, customer files, meeting transcripts3Require customer-data approval and retention rules.
Gmail, Drive, Docs, SSO, admin consoles, source code, finance, HR, password manager4Block or require a written exception.

If the extension can read Gmail or Docs, use the deeper checklist in AI extensions that can read Gmail or Google Docs before approving it.

OAuth and connector score

Browser permissions are only half the review. Many AI extensions also ask users to sign in with Google or connect SaaS accounts. Google Workspace app access controls let admins review configured apps, accessed apps, and apps pending review; Google also distinguishes access levels such as Trusted, Specific Google data, Limited, and Blocked.

Score OAuth separately:

OAuth patternSuggested scoreRequired evidence
No OAuth or connected account0Confirm the extension still works without account sync.
Basic sign-in only1Record the OAuth client and vendor.
Read-only access to one approved service2Record exact scope and owner.
Write or export access to a customer/work system3Require admin approval and a pilot limit.
Gmail, Drive, Docs, CRM, Slack, source-control, password manager, admin, finance, or HR scopes4Treat as critical unless tightly scoped and approved.

When Google Workspace is the source system, check API Controls before approving the extension and again during offboarding.

Automation score

AI browser extensions often move from “summarize this page” to “take action for me.” Score action-taking higher than reading.

BehaviorSuggested scoreControl
Summarizes selected text after a user click1Require the user to choose the text.
Reads the full current page after a click2Restrict hosts and data types.
Writes drafts, fills forms, updates fields, or copies data between apps3Require human confirmation and audit notes.
Sends messages, submits forms, updates CRM/customer records, changes admin settings, or runs hidden workflows4Block unless the workflow has a documented approval path.

Do not approve action-taking behavior just because the UI feels like a chat assistant. Score the real system effect.

Vendor and update score

Small teams often skip this dimension because it feels less urgent than permissions. That is a mistake. Browser extensions can update quickly, and permission changes can change the risk profile.

Score 3 or 4 when:

  • The vendor does not clearly identify the company, support path, privacy policy, or security contact.
  • The extension changed permissions recently without a clear release note.
  • The vendor gives no useful explanation of data retention, model training, subprocessors, or deletion.
  • The extension is maintained by an individual account for a critical team workflow.
  • The vendor cannot support workspace-level administration, auditability, or revocation.

If the tool is useful but vendor confidence is weak, keep the pilot narrow and make renewal explicit.

Deployment score

Deployment risk grows with the number of users and the difficulty of removal.

Deployment scopeSuggested scoreAdmin action
One reviewer account0-1Time-box the test.
One role group1-2Add it to the browser extension allowlist.
Whole department3Require Chrome policy and OAuth review.
Company-wide, unmanaged, or hard to inventory4Block until inventory and offboarding are ready.

If you use Chrome Enterprise controls, map the decision to allowlist/blocklist rules and keep the extension ID in the approval record.

Decision thresholds

Total scoreDecisionRequired action
0-4LowAllow with owner, use case, and review date.
5-8MediumRestrict to role, approved hosts, and approved data types.
9-13HighPilot only with admin owner, blocked hosts, OAuth review, and renewal date.
14+CriticalBlock unless there is a written exception and compensating controls.

Critical triggers override the total score. Treat the extension as critical if any of these are true:

  • Broad all-sites access plus customer, employee, financial, source-code, or admin data.
  • Access to password managers, SSO, admin consoles, finance, HR, production, or source-control pages.
  • OAuth access to Gmail, Drive, Docs, CRM, Slack, source control, or password managers without narrow controls.
  • Automated sending, submitting, updating, or record-changing behavior.
  • Unknown vendor, no usable policy, or no support/security contact.
  • No inventory, no extension owner, or no offboarding path.

Approval record

Copy this into your approval tracker.

AI browser extension risk score
Extension name:
Extension ID:
Vendor:
Business owner:
Admin owner:
Users or group:
Requested use case:
Permission score:
Data access score:
OAuth and connector score:
Automation score:
Vendor and update score:
Deployment score:
Total score:
Critical triggers:
Allowed hosts:
Blocked hosts:
OAuth scopes reviewed:
Data types exposed:
Decision: Approved / Restricted / Pilot / Blocked
Renewal date:
Offboarding owner:
Reviewer:

For removal steps, keep the browser extension offboarding checklist linked from the same record.

Review cadence

SituationReview timing
New low-risk extensionAfter 30 days, then every 6 months.
Medium-risk extensionAfter 30 days, then every quarter.
High-risk pilotWeekly during the pilot, then decide approve/restrict/block.
Permission changeRe-score before allowing the new version.
New OAuth scope or connected appRe-score before users authorize it.
Role change or employee exitRun the offboarding checklist immediately.

Evidence checked

FAQ

Should activeTab always be allowed?

No. activeTab is usually lower risk than persistent all-site access because it depends on a user action and is temporary, but the risk still depends on where employees use it and what the extension sends to the vendor.

Is a Chrome Web Store listing enough evidence?

No. Use the listing as a starting point, then review permissions, host access, OAuth scopes, vendor documentation, and deployment controls. For employee guidance, pair this matrix with the Chrome AI extension permissions explainer.

What score should block an extension?

Block at 14 or higher by default. Also block any extension with a critical trigger unless the business owner records an exception and the admin owner can enforce the required controls.

How should a small team handle an extension that only one executive wants?

Score it like any other extension. If it touches sensitive systems, use a named pilot account, limited hosts, an expiration date, and explicit offboarding. Executive preference is not a control.

Should browser extensions be reviewed separately from SaaS AI tools?

Yes. Browser extensions can observe the pages employees visit and may combine page access with account-level OAuth. Review the browser layer and the connected-app layer separately, then keep the final result in your AI tool inventory.

Pick the highest-risk AI extension already installed by your team, score it with this matrix, then run the result through the AI Tool Risk Checker. If the score is medium or higher, add the decision to the Small Team AI Security Checklist and set a renewal date.