Turn unknown AI use into controls your team can explain.
Discover use across supported AI tools, start with observation, and apply local policy actions when your team is ready. G.A.I.N. gives managers evidence without storing prompts.
Book a 20-minute callA common visibility gap
Security has an AI policy, but nobody can show whether it runs at the moment a paste happens.
G.A.I.N. connects policy to supported AI workflows on the device. Teams can see the tool and category involved, then choose the right response without forcing a blanket ban on AI.
Policy response
AI usage rule
The user receives a local warning before sending configured data types through the selected supported tools.
How it works
A policy needs a real control behind it.
Start with a seven-day snapshot
Run observation first so policy choices are based on real supported-tool usage instead of assumptions.
Choose rules by real risk
Apply different actions for client data, credentials, financial information, and custom business terms.
Show the evidence
Use metadata-only events and reports to explain what was observed and which controls were active.
Policy actions
Choose the response that fits the risk.
Understand before enforcing
Record metadata-only activity for a category without interrupting the person using the tool.
Make the decision visible
Prompt a person to stop and review an unsafe paste before it reaches a supported tool.
Set a hard boundary
Prevent high-risk categories from being sent where a warning is not enough.
A useful record of control, not a surveillance archive.
Managers can review the supported tool, department, category, action, and time. The dashboard is built for policy evidence without a prompt archive.
- Tool
- Claude
- Department
- Finance
- Action
- Warn
- Prompt content
- Not stored
Where this applies
- Supported browser AI tools and configured coding workflows.
- An observation-first rollout with log-only, warning, redaction, and block policies.
- Department and supported-tool policy scopes with metadata-only evidence.
What it does not claim to do
- It does not claim to discover every AI site on every unmanaged browser or device.
- Coverage depends on the extension or agent being installed, enrolled, and healthy on the device.
- It does not replace AI vendor governance, access controls, or employee training.
Questions
Before you put a policy into production.
What is shadow AI?
Shadow AI is AI use that is outside the controls or visibility your organisation expects. The practical problem is not that people use AI, but that data can leave through a workflow no one can explain.
Can G.A.I.N. start in observation mode?
Yes. Start with log-only policies to understand normal work, then turn on warnings, redaction, or blocking only where the evidence supports it.
What is shown to managers?
Metadata such as the supported tool, policy category, action, department, and time. The dashboard does not need the original prompt to show that a control ran.
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