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Enterprise browser DLP for every AI tool employees use.

The LogosGuard enterprise browser extension runs inside AI tools like ChatGPT and Claude. It detects sensitive data on paste, type, and upload, applies your admin policy at the moment of submission, and logs every event for review. Deploy through your existing extension management; days to coverage across the organization.

Most employee AI usage is in the browser. The browser is also where in-context coaching beats network-layer blocking, the extension can highlight a span, show a tooltip, and let the user fix it without breaking flow.

What the browser extension actually covers.

The extension runs on the AI-tool origins it is configured for, and observes paste, type, and file-upload events on those origins. The default coverage set:

- ChatGPT: chat.openai.com, chatgpt.com - Claude: claude.ai - Gemini: gemini.google.com, Gemini in browser-based Workspace - Other browser-based AI: added as configured origins

The extension does not run on origins outside the configured set. It does not access browser history, bookmarks, or saved passwords.

What happens when sensitive data is detected.

  1. 1

    Highlight

    LogosGuard highlights the sensitive spans in the prompt before submission, so the user can see exactly what was flagged.

  2. 2

    Apply policy

    On a redact rule, the real values are swapped for placeholders before the prompt is submitted. The AI sees the placeholders and produces a useful answer. On a block rule, the submission stops. On a warn, the user sees what was flagged and can edit.

  3. 3

    Coach

    If a warning fires, the user gets a short message explaining the policy and an option to edit before continuing.

  4. 4

    Log

    The event is recorded for review, without storing the underlying sensitive content.

What the extension catches before submit.

  • Paste: clipboard content scanned the moment it lands in an AI tool's input field.
  • Type: typed content is checked before the prompt is submitted.
  • File upload: uploads scanned in supported formats (text, common document types) for the same patterns.

Four actions: warn, redact, block, allow.

  1. 1

    Warn

    Show the user exactly what was detected, explain why it matters, and let them edit before submitting.

  2. 2

    Redact

    Swap the real values for placeholders (`[CUSTOMER]`, `[MRN]`, `[ACCOUNT]`) before the prompt is submitted. The AI works against the placeholders and still gives a useful answer. Detection and redaction run inside your LogosGuard deployment, so your data never leaves your environment.

  3. 3

    Block

    Stop the submission entirely. Best for prompts that go against your policies.

  4. 4

    Allow

    Sanitized prompts can pass through, while still being logged.

Scopes that matter in practice.

Policies in LogosGuard are not flat. A real organization needs different rules for different teams, AI tools, and time windows. The engine supports each:

- Data class: PII, PHI, credentials, source code, financial, MNPI, legal, customer data, each with its own action. - User and team: research teams operating on de-identified data may have different rules from clinical teams handling full PHI. - AI tool: block uploads to consumer ChatGPT but allow them on your enterprise plan; warn on Claude but redact on Gemini. - Time window: exception periods for specific projects, scoped and logged.

Policies can also reference live company documents, a list of restricted counterparties, a feed of unreleased product codenames, for dynamic deny-lists with auto-updating enforcement.

How admins configure policy.

Policies are written once and applied across every AI tool the extension covers. Admins map data types, PII, PHI, credentials, source code, customer data, and more, to actions, and can scope rules to specific teams, AI tools, or time windows. Defaults are sensible, so you can start with the recommended policy and tighten as adoption grows.

Audit logs and admin visibility.

Every detection, redaction, and block is recorded as a structured event with user, AI tool, policy fired, data classes detected, and action taken. The underlying prompt content is not retained, by design, so the audit log does not become a second exposure surface. Logs export to your existing SIEM and surveillance pipelines. See audit employee AI usage for the dashboard view.

Browser security model.

The extension declares the minimum permissions required to do its job. Communication between the extension and the LogosGuard backend uses TLS 1.2 or higher. Release builds are produced from a clean build environment and signed before being published to the Chrome Web Store and Microsoft Edge Add-ons store. We don't ship hot-patches that bypass store review, the standard channel is the right channel for an extension that sees sensitive data.

Threat model and mitigations.

  • Compromise of the update channel: mitigated by signed release artifacts, integrity verification at install, and Chrome / Edge store policies.
  • Disabling or tampering with the extension by a determined user: accepted as a residual risk; pair with extension-management policies that prevent disabling, and add a network or gateway backstop for traffic the browser cannot see.
  • Cross-origin attacks from an AI tool origin: the extension's content script is sandboxed and uses minimal cross-origin communication, all over TLS to LogosGuard backends.
  • Data exfiltration via the extension's network calls: restricted to a small allow-list of LogosGuard backends.
  • Supply-chain compromise of a dependency: mitigated by SAST, dependency scanning, and a controlled dependency-update workflow.

Browser extension vs alternatives.

CapabilityBrowser extensionNetwork DLPNothing
In-context user feedback / coachingYesLimitedN/A
Stops sensitive data in browser AIYesYes (TLS)No
Stops native AI desktop clientsNoSometimesNo
Stops native AI desktop clientsNoSometimesNo
Acts before submissionYesYes-
Time to deployDaysWeeks-months-
Best paired withDesktop app + private LLMBrowser extension-

How this stacks with ChatGPT Enterprise.

ChatGPT Enterprise is the right baseline for any company that has settled on ChatGPT as a tool of record. It excludes company conversations from training and gives admin SSO and retention controls. What it does not do is prevent submission. The LogosGuard enterprise browser extension adds pre-submission control on top of ChatGPT Enterprise (and every other AI tool your teams use). The two stack cleanly. See ChatGPT Enterprise vs DLP for the full breakdown.

Roll out browser-level AI protection in days.

Contact UsEnterprise Desktop App

Frequently asked questions

Can a Chrome extension stop ChatGPT data leaks?
Yes. The LogosGuard enterprise browser extension detects sensitive data in the browser before submission and can warn, redact, block, or allow based on policy. It works across ChatGPT, Claude, Gemini, Copilot, Grok, and Perplexity in the browser.
Does the extension see my data?
Detection runs in your LogosGuard backend, your cloud tenant or a self-hosted deployment, not in the browser. Audit logs preserve event metadata, user, AI tool, policy fired, data classes detected, action taken, but not the underlying prompt content.
How are updates delivered?
Through the Chrome Web Store and Microsoft Edge Add-ons store. Enterprise customers can pin to a specific version and stage updates through their own review process.
What origins does the extension run on?
The configured AI-tool origins (ChatGPT, Claude, Gemini, and others as configured). The extension does not run on origins outside that set, and does not access browser history, bookmarks, or saved passwords.
Can users bypass it?
Any client-side control can be bypassed by a determined user on a different device or with the extension disabled. Pair with extension-management policies that prevent disabling, and add a network or gateway backstop for traffic the browser cannot see.
Does it cover native AI desktop clients?
Browser-based AI tools (ChatGPT, Claude, Gemini) are covered by this extension. Native AI desktop clients (ChatGPT desktop, Claude desktop) and command-line AI tools are covered by the enterprise desktop app, with the same policy engine. Most enterprise organizations deploy both.
Can we review the extension before deployment?
Yes. Customer security teams can review the manifest, permission set, and high-level architecture under NDA. We've done this with every onboarded customer.
How fast can we deploy?
Browser-extension rollout typically takes days through your existing extension-management policy. Tightening rules, adding company-specific dictionaries, and integrating audit logs into your SIEM happen incrementally afterward.
Can different teams have different rules?
Yes. Policies are scoped by user, team, AI tool, and time window. The same extension applies the right rules based on identity from your SSO.
Does the platform integrate with our SSO?
Yes. The admin console supports SSO via your identity provider; user identity in audit logs is sourced from the SSO claim.
Contact UsEnterprise Desktop App

Related reading

Browser Extension (Consumer)

Chrome extension for individuals using AI privately.

Enterprise Desktop App

Coverage for native AI desktop clients and command-line AI tools.

Enterprise Private LLM

For workflows that cannot leave the perimeter.

ChatGPT Enterprise vs DLP

How LogosGuard stacks with ChatGPT Enterprise.