Discover AI use beyond connected apps.
Bring observed browser usage into the application inventory. Identify AI tools that need review and record which applications your organization approves.
AI security
Discover Shadow AI. Control sensitive AI inputs.
Find unapproved AI tools used in managed browsers. Configure Playbooks for supported sensitive prompts and uploads, then test the controls and investigate reported findings.
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Clear guidance, at the moment it matters.
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A policy document cannot see the next AI prompt.
Employees can use a new AI tool before it appears in a connected application directory. Browser visibility helps you understand adoption and apply your policy at supported interactions.
Add context without exposing account identifiers.
See whether a supported AI session appears to use a work account, personal account, or no signed-in account. Observed email addresses and domains stay in the browser.
Act at the point of submission.
Use Playbooks to stop sensitive prompts and file uploads in the AI workflows you cover. Give employees a clear warning when an action matches your policy.
From visibility to action
See the workflow before choosing your AI controls.
In a demo, walk through AI discovery, a supported data policy, and the evidence your team can investigate.
Find the AI tools employees use.
Review observed applications and AI account status: work, personal, no signed-in account, or unknown. See how an enrolled browser adds context beside your connected SaaS applications.
Choose a supported data control.
Choose the AI workflow and employee audience your policy needs to cover. Review the available Playbook conditions for a sensitive prompt or eligible file upload.
Test the control and review the evidence.
Test the intended warning or block on a representative device. Review reported findings in Browser Logs and confirm what follow-up your team can take.
Part of your security workflow
AI visibility belongs beside your SaaS risks.
Keep application policy, browser findings, and employee context together. The extension adds a control surface to Elba’s broader platform.
- Supported web workflows include ChatGPT, Claude, Gemini, and Microsoft Copilot.
- Deploy through your existing browser and device-management tools.
- Review sensitive-data findings alongside the relevant user and application.
- Stored findings contain classifications, hashes, and necessary metadata rather than raw prompts or file content.
Your tools. A connected view.
Make your stack part of the solution.
A closer look
The questions that matter.
Does Elba inspect every file uploaded to an AI tool?
No. Supported text-based files provide a bounded content excerpt. Binary formats, including PDFs, Office files, most images, and archives, expose metadata only. Incomplete inspection does not itself block an upload.
Which browsers are supported?
Chrome, Edge, Firefox, and Safari are supported. Safari requires macOS 26 and Safari 26 or later, with managed production deployment. Specific capabilities depend on browser, enrollment, and configuration.
Are prompts analyzed only on the employee’s device?
No. A configured control can send the relevant prompt or a bounded content excerpt through Elba’s classification service. Stored findings retain results and metadata. Elba does not use customer data to train AI models.
Connected by design
One risk rarely lives alone.
See how your team can discover and control Shadow AI.
Walk through an AI application inventory, a supported data-control Playbook, and the findings your security team can investigate.