Discover the real picture.
Understand which supported AI tools are being used and where coverage needs attention.
AI DATA PROTECTION. BUILT IN EUROPE.
Let AI in.
Keep your data yours.
See how your team uses AI. Apply rules for sensitive data, with local inspection and a clear record of what happened.
Local inspection · Metadata reporting
01 / THE PRODUCT
AI use, out of the shadows.
One place to understand your tools, your policies and the events that matter. Built around the way your team actually works.
Open interactive demo02 / THE APPROACH
A policy on paper cannot stop a paste.
Bring your AI policy to the point where decisions happen. Keep useful work moving, with clearer boundaries around sensitive data.
Our approach to trustMake the rules specific.
Set actions for client data, credentials and source code by tool, reflecting how each team works.
Keep a record you can use.
Review the tool, rule, action and time. Distinguish a logged event from an enforced control.
03 / BUILT FOR REAL WORK
Different teams. Clear boundaries.
Examples of AI tools. Coverage varies by workflow and device.
In the browser
G.A.I.N. extension
ChatGPT · Claude · Gemini · Microsoft Copilot · Perplexity
Checks supported website interactions in the browser where the extension is active.
Beyond the browser
G.A.I.N. Agent
Desktop apps and coding workflows
Requires separate agent setup. We verify the integration and available actions for each workflow during the pilot.
Good code in.
Keep credentials private.
Help developers use AI without making every prompt a judgment call. Apply specific policies to secrets, source code and supported coding workflows.
API keys & tokensSource codeClaude Code & Cursor
EXAMPLE POLICY
When detectedAPI keys & tokens
In supported toolsClaude CodeCursor
BlockBefore submission
Illustrative rule. Confirm coverage during rollout.
04 / POLICY, MADE PRACTICAL
Your tools. Your rules.
Choose what happens for each type of data. A warning for one workflow. A block for another. Visibility where enforcement is not enabled.
Policy workspaceExample configuration
| AI tool | Client data | API keys | Source code | Personal data |
|---|---|---|---|---|
| ChatGPT | Warn | Redact | Warn | Redact |
| Claude | Warn | Block | Allow | Redact |
| Claude Code | Log | Block | Allow | Log |
| Gemini | Warn | Block | Warn | Warn |
| Microsoft Copilot | Allow | Block | Allow | Warn |
| Perplexity | Block | Block | Block | Block |
Illustrative rules. Available actions depend on the integration, active policy and device state.
AllowContinueWarnShow a warningRedactMask supported sensitive valuesBlockStop the supported actionLogRecord metadata only
G.A.I.N. / PRIVACY BY DESIGN
THE EVENT. NOT THE PROMPT.
Visibility should not cost you privacy.
Prompt content is checked on the device; the dashboard is designed to store event metadata, not employee prompts.
Read the trust overview05 / A CLEAR START
Start focused. See what matters.
A scoped rollout, with support from the people building the product. Agree what success looks like before expanding.
01
Create your workspace
02
Connect a small team
03
Review tools and coverage
04
Set and verify policies
ASSISTED PILOTS & ANNUAL PLANS
Explore pricingA clear scope. A predictable price.
A FEW GOOD QUESTIONS
Clarity before commitment.
Do you read our employees’ prompts?
Detection is designed to run on the device. The dashboard records event metadata, such as the tool, matched rule, action and time, rather than the prompt text.
Which AI tools can we govern?
G.A.I.N. covers supported browser flows and coding tool integrations, including Claude Code and Cursor. Exact enforcement varies by integration. We confirm your browsers, tools and actions during rollout.
What if an employee disables the extension?
A disconnected or paused device should not be treated as protected. Deployment health and coverage help distinguish reporting devices from gaps that need attention.
Does Log mode block sensitive data?
No. Log records event metadata. Warn and Block are separate actions and require a supported, active enforcement path.
We already have DLP. Where does G.A.I.N. fit?
Start with the gaps in your current controls. A scoped pilot checks whether G.A.I.N. adds useful visibility and enforcement in the AI workflows your team actually uses.
How do we get started?
Book a walkthrough or create a workspace. For an assisted rollout, we agree the devices, tools, policies and success criteria before the pilot begins.
FROM THE TEAM
Less noise. Useful perspective.
01Product notes
Protection is a claim. Evidence is the standard.
What to check before calling an AI policy enforced.
Read the note 02Inside G.A.I.N.A blocked paste is only the beginning.
Why coverage, device state and repeatable tests matter.
Read the note 03Client dataClient confidence meets everyday AI.
A practical starting point for confidential information.
Read the noteMAKE YOUR AI POLICY REAL
Better visibility.
More confident AI use.
Start with your team’s tools. See where G.A.I.N. can make a difference.
Book a walkthrough