Stop sensitive data before it reaches AI tools.
Trust-Prompt Enterprise helps companies use generative AI more safely. It checks prompts locally in the browser before employees send them, so confidential data, personal data, passwords or internal documents are less likely to leave the company by mistake.
What this page explains
A simple overview for decision makers, IT, security and compliance teams.
- 1Why companies need itThe real risk behind everyday AI use.
- 2What makes it differentLocal prevention instead of late reaction.
- 3How governance worksPolicies, roles, warnings and blocks.
- 4Policy BuilderCreate Google Admin JSON or Windows REG exports.
- 5Privacy and limitationsWhat Trust-Prompt checks and what it does not check.
- 6Deployment resourcesWhere it fits in enterprise Chrome environments.
AI is useful, but one careless prompt can create a data incident.
Employees often use AI to summarise emails, analyse documents, rewrite customer messages or speed up research. The risk is not always bad intent. Often it is a normal work situation: someone pastes too much, forgets to remove personal data, or includes an internal file reference.
Personal data
Names, email addresses, customer IDs, phone numbers, addresses, dates of birth or ID numbers can easily be copied into an AI chat.
Business secrets
Contracts, pricing details, internal documents, strategy notes or confidential project data may be shared without enough review.
Security data
API keys, passwords, tokens, database links or credentials must never be sent to external AI tools.
Trust-Prompt helps earlier than many traditional controls.
Many security tools focus on what happens after data starts moving. Trust-Prompt focuses on the user’s action before the prompt is submitted. This makes the protection easier to understand and closer to the real mistake.
Controls the road
Proxy or network controls can help decide where traffic may go. They are important, but they often act when the user has already tried to send the data.
- Good for controlling access to services.
- Often focused on routing, blocking or monitoring traffic.
- May not explain the exact mistake to the employee while they write.
Stops the mistake earlier
Trust-Prompt checks the prompt locally in the browser and can warn or block before the content is submitted to the AI tool.
- Checks the text before the send action.
- Explains the risk in simple language.
- Helps employees fix the prompt instead of only punishing the result.
Clear rules for different teams.
Not every team has the same risk. Finance, Legal, Support and IT may need different settings. Trust-Prompt Enterprise supports managed policies so companies can define what should be allowed, warned or blocked.
ALLOW
Low-risk content can continue without interruption.
WARN
The user receives a clear warning and can review the prompt before sending.
BLOCK
High-risk content such as credentials, payment data or strong identity signals can be stopped.
FINANCIALID_KYCSECURITYPIIA practical setup flow for enterprise policies.
The Policy Builder is designed for administrators. It helps create policy targets, define AI access, choose risk actions and export deployment-ready settings.
Choose a baseline
Start with a Light, Standard or Strict profile, or use a role-based profile such as Finance, Support or IT Admin.
Define policy targets
Create separate settings for teams, departments, organizational units or groups.
Set runtime behavior
Decide whether protection is enabled, how uploads are handled and whether redaction previews are available.
Control AI tool access
Define which AI sites are approved, monitored or blocked for each policy target.
Tune risk rules
Set category actions, rule overrides, allowlists and blocklists for organization-specific language.
Validate and export
Export Google Admin JSON for managed Chrome environments or Windows REG for local managed-policy testing.
Local-first by design.
Trust-Prompt Enterprise is designed to evaluate prompt text on the device. It does not require sending prompt content to a Trust-Prompt server for enforcement.
Privacy principles
- Prompt checks run locally in the browser.
- No backend is required for runtime enforcement.
- Prompt content should not be stored by design.
- Audit should focus on metadata and policy outcomes.
Current limits
- Trust-Prompt does not inspect uploaded file content by default.
- No OCR should be assumed unless implemented separately.
- Custom AI hosts can require additional browser permissions or URL policies.
- One selected policy target is exported at a time.
For privacy review, see the Trust-Prompt Enterprise privacy information at trust-prompt.com/enterprise/privacy-policy.
Designed for managed browser environments.
Trust-Prompt Enterprise can be deployed through managed browser policies. In Google environments, companies can use Chrome Enterprise Browser management and Google Admin policy configuration. For local Windows testing, administrators can use registry-based managed policies.
Google Admin JSON
Used for managed Chrome deployments where the browser or profile receives enterprise policies from Google Admin.
Windows Registry
Useful for local managed-policy testing or Windows-based Chrome and Edge deployments.
For official managed browser context, see Google Chrome Enterprise Browser. Trust-Prompt Enterprise can be positioned as an additional local pre-check layer inside this kind of managed browser environment.