EL ExtensionLedger Audit and neutralize risky AI browser extensions.
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Enterprise browser security

Inventory and control AI browser extensions

Find AI assistants, cookie permissions, all-sites access and shadow AI signals before they expose prompts, sessions and customer data.

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Inventory Risk matrix Blocking plan

Security workflow in 3 steps

  1. Import a CSV or JSON export of browser extensions.
  2. Automatically score sensitive permissions and AI assistant signals.
  3. Keep history, export CSV and share recommended security policies.

What the audit exposes first

The product focuses on the situations where an apparently useful AI extension actually opens an exposure path for sessions, prompts and business data.

AI assistants installed outside the approved catalog

Teams add Copilot, ChatGPT Sidebar or summarizers without security validation and without a named business owner.

All-sites access across the browser

The `<all_urls>` permission turns a convenient extension into a cross-application observation point across SaaS, CRM, intranet and customer portals.

Sensitive permissions hidden in manifests

Cookies, history, scripting, nativeMessaging or webRequest are often scattered across manifests and rarely reviewed consistently.

Exceptions that never expire

Once tolerated, risky extensions remain active for months without expiration date, owner review or exception log hygiene.

Business compliance

AI extension evaluation methodology, normative references and an operational decision matrix.

Weights below provide a consistent baseline to decide allow, exception workflow or block.

Open full compliance page

What security gets at the end

The goal is not a raw inventory. The output needs to be usable in a security steering committee, browser governance review or workplace action plan.

  • A normalized inventory by browser, team and business owner.
  • A prioritized list of AI or over-privileged extensions to block, restrict or keep under exception.
  • A short action plan for endpoint, browser directory and security exception workflows.
  • A CSV export that can be shared with procurement, workplace engineering and the security committee.
  • A quarterly re-audit baseline to track regressions and new shadow AI usage.
Open the audit playbook

Examples of situations covered

The product is most useful on the real cases security teams already see on managed Chrome, Edge or Brave fleets.

Marketing team with writing assistants

Context: The workstation contains ChatGPT Sidebar, Grammarly, Loom and an internal CRM helper with broad access.

Risk highlighted by the tool: The mix of marketing prompts, SaaS cookies and a high-privilege internal helper creates a broad exposure surface.

Suggested decision: Freeze the CRM helper, restrict AI extensions to the approved catalog and require an owner for every writing-related use case.

Support team using tab summarizers

Context: Agents install summarization extensions to accelerate ticket handling and back-office console reading.

Risk highlighted by the tool: Extensions can read customer data and browser history across support consoles.

Suggested decision: Move to an approved list, remove all-sites access and create a monthly review of active exceptions.

Consulting firm during due diligence

Context: An M&A project triggers a sudden spike of temporary AI extensions across several browsers.

Risk highlighted by the tool: Teams upload confidential material into unmanaged assistants while urgent exceptions multiply.

Suggested decision: Run a flash audit, block new installations and only allow extensions tied to a validated project owner.

Operational FAQ

These are the most common framing questions before a first audit.

Who is the product for?

CISOs, workplace teams, enterprise browser owners and compliance leaders who need to control AI assistants on employee endpoints.

Do we need an agent on each endpoint?

No to get started. The product works from MDM exports, Chrome Enterprise, Edge Management or consolidated CSV/JSON lists.

How is this different from a browser allowlist?

An allowlist states what should be allowed. The audit reveals actual permissions, AI signals and exceptions that drift over time.

Does the score replace human judgment?

No. The score prioritizes and standardizes the review, but the final block or exception decision remains with the customer organization.

Need a browser security audit?

Describe your fleet, browsers and current SASE/EDR tools. The request is stored and can be routed by SMTP when configured.