AI usage policies that apply where work happens.
Turn AI data-handling rules into local warning, redaction, and blocking controls across supported AI tools, with evidence that the controls actually ran.
Book a 20-minute callA normal workday
A teammate pastes a customer dispute into an AI chat to write a faster reply.
The policy is not sitting in a handbook. G.A.I.N. checks the content on the device before it is sent and applies the action your team chose for that category.
Policy response
Customer data rule
Sensitive values are replaced locally so the useful request can continue without sending the customer details.
How it works
A policy needs a real control behind it.
Set the rule once
Choose what to detect, which supported tools it applies to, the action, and any department scope.
Apply it at the moment of use
G.A.I.N. checks supported browser AI tools and configured coding workflows before data leaves the device.
Keep evidence, not prompt content
The dashboard records metadata about the tool, category, action, and time so teams can review whether the control ran.
Policy actions
Choose the response that fits the risk.
Keep the person in control
Show an inline warning when a policy needs a deliberate review before the message is sent.
Keep useful work moving
Replace matching values locally, then let the safe remainder of the request continue.
Stop the highest-risk data
Prevent a configured category from being sent when a warning or redaction is not appropriate.
A control you can show a client or auditor.
Managers review which tools were used, which policy action ran, and the risk category. G.A.I.N. keeps prompt content on the device.
- Tool
- ChatGPT
- Category
- Customer data
- Action
- Redact
- Prompt content
- Not stored
Where this applies
- Supported browser AI tools, including ChatGPT, Claude, Gemini, Microsoft Copilot, and Perplexity.
- Configured local coding workflows where the G.A.I.N. Agent is installed.
- Department-scoped and tool-scoped policy rules.
What it does not claim to do
- It does not inspect every website or act as a general browser monitoring product.
- It does not send prompt content or employee names to the dashboard by default.
- It complements access control, secret management, and endpoint security. It does not replace them.
Questions
Before you put a policy into production.
Do we have to block AI tools to use G.A.I.N.?
No. Teams choose the action for each policy. Many begin with log-only or warning rules, then use local redaction for routine sensitive data and blocking for the highest-risk categories.
What does a manager see after a policy runs?
The dashboard receives metadata such as the supported tool, detection category, action taken, severity, department, and timestamp. Prompt content is not stored.
Can different teams have different rules?
Yes. Policies can be scoped by supported tool and department so a finance, support, or engineering team can have rules appropriate to its work.
See the policy on your real workflow.
In 20 minutes, we can map the AI tools your team uses and show the policy actions that fit them.
Book a 20-minute call