Trust-Prompt Plus — Local AI Governance Before You Send
Trust-Prompt Plus as a Local AI Governance Layer
Trust-Prompt Plus is a local AI governance layer designed to sit between the user and supported AI websites. It checks content before submission, detects privacy, security and compliance risks, and helps teams reduce accidental disclosure before data leaves the browser.
Because Plus is more than a warning tool, it combines pre-send detection, license-controlled activation, local audit visibility, policy export and local processing in one practical workflow.
In practical terms, Trust-Prompt Plus helps introduce governance at the exact moment where real risk happens: the copy, paste and send moment. As a result, organisations can support AI adoption with more control, more trust and less unmanaged exposure.
Why a local AI governance layer matters
Trust-Prompt Plus is not just a prompt helper. It is a governance layer. Its role is to review text before it is sent to external AI systems on supported AI websites, so that users and organisations can apply policy-aware judgement before the actual transmission happens.
The timing is the point. Trust-Prompt Plus checks content before the user submits it, which makes it relevant for governance, privacy and operational control.
Prompt review is designed to happen locally in the browser. The content is not sent to Trust-Prompt servers for analysis.
Advanced Plus functionality is tied to valid license activation and supported-site configuration, rather than being open by default.
How Trust-Prompt Plus works
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User enters or pastes content
The user writes or pastes text into a supported AI website where Trust-Prompt Plus is active.
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Local governance check runs before submission
The content is evaluated locally for rule-based risk signals, including privacy, financial, security, compliance and sensitive-category indicators.
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The layer returns a decision
Depending on the configured result, the user may see an allow state, a warning, a hard block, or a local redaction path where that makes sense.
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The send action is controlled at the point of risk
Therefore, the most important control appears before the user sends the data and not after the exposure has already happened.
What Trust-Prompt Plus can do
Pre-send detection
Checks user-entered text before submission and looks for governance-relevant signals such as personal data, secrets, identifiers, financial patterns and sensitive categories.
Jump to risk signals →Allow / Warn / Block logic
Supports clear policy outcomes so the layer can let low-risk content pass, warn on review cases, or block clearly risky submissions before they are sent.
See governance outcomes →Local redaction support
Where appropriate, Trust-Prompt Plus can offer local redaction so the user can reduce exposure before sending. However, redaction does not replace judgement.
Read about redaction →Supported AI websites
Plus is intended for supported AI websites and licensed workflows, so deployment can remain practical, clear and review-friendly.
Read about activation and scope →Local audit visibility
Plus can keep local audit-relevant visibility such as rule hits, decision counts or related governance events, helping teams understand how the layer is being used.
Go to audit section →Policy export
Policy export helps make configuration and governance settings more transparent and easier to review.
Go to policy export →Configurable governance behaviour
Rule handling and governance behaviour can be aligned to the intended use case, so Plus supports practical control instead of generic friction.
See governance logic →Local processing model
The key architectural point remains local processing in the browser. That is central to the product’s trust model and core story.
Read local processing details →How warning and block panels can look in practice
Trust-Prompt Plus is designed to give users a clear decision before send. Therefore, the interface should feel lightweight but decisive: enough detail to support judgment, yet compact enough to remain usable during real work.
Examples of what Plus helps detect
Privacy and personal data
- Email addresses, phone numbers and structured personal records
- Names combined with sensitive context
- Special categories such as health, religion or political opinion
Financial and technical exposure
- IBANs, card-related patterns and related payment signals
- Secrets, tokens, private keys and technical credentials
- Connection strings or risky authentication artefacts
Compliance-sensitive material
- Confidentiality markers and document classification phrases
- Structured large pastes and record-like content
- Content likely to require extra care before external sharing
Governance-relevant user behaviour
- Fast copy-paste style sharing into AI tools
- Prompts that combine identifiers with sensitive categories
- Cases where a user may need a second review moment before send
Governance outcomes: allow, warn, block
Used when no relevant policy issue is detected or when the content falls below the configured threshold for intervention.
Used when content deserves review, context awareness or user confirmation before it is sent.
Used when the content matches clearly risky patterns or combinations that should not be submitted under the active governance rules.
How local redaction fits into Plus
Local redaction is designed to help reduce exposure before the content is sent. Even so, users still need to review whether the remaining text is appropriate to share.
What redaction is for
Redaction helps neutralise obvious identifiers or technical secrets where a deterministic local replacement is appropriate.
Why warnings may still remain
If the underlying text still contains sensitive meaning, a warning can still be correct even after some parts have been redacted.
Local audit visibility
Trust-Prompt Plus is designed to support governance visibility without turning prompt analysis into a remote data collection model. In practice, that means audit-relevant information can remain local while still helping users and governance owners understand how the layer behaves.
Local event perspective
Audit-relevant information can include counts, rule hits, decisions or similar signals that help explain how the governance layer is operating in day-to-day use.
Operational usefulness
This helps teams answer practical questions such as which kinds of issues are appearing, whether policy settings are too strict or too weak, and whether usage patterns suggest a training need.
Trust model
The important distinction is that the governance value comes from local review and visibility, not from sending prompt text to Trust-Prompt for central analysis.
Policy export
Policy export helps make active settings and governance behaviour understandable. Therefore, compliance-minded users get a clearer link between the configured layer and the actual operating posture.
Why policy export matters
Governance tools should not behave like opaque black boxes. Policy export supports documentation, review and communication around what the layer is configured to do.
Who benefits
Operational users, internal policy owners, compliance teams, founders and decision-makers can all benefit from a clearer view of the active rule posture and governance behaviour.
Activation, licensed features and supported AI websites
Trust-Prompt Plus is not fully open by default. Advanced Plus functionality becomes available only after entry of a valid license key and the activation of the licensed feature set.
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Install the extension
Users begin with the available product state and can review the setup in the extension itself.
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Enter a valid license key
Licensed Plus features are unlocked only after successful key activation.
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Use supported AI websites
The governance layer is intended to run on supported AI websites, so protection remains clear, controlled and understandable for the first public version.
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Work with Plus as an active control point
Once active, the layer becomes part of the user’s actual send workflow on the relevant supported AI websites.
Why local processing matters
Prompt checks happen in the browser
The product is designed so that prompt review happens locally, before submission, rather than by uploading prompt text to Trust-Prompt for remote analysis.
Less exposure by design
Keeping the governance logic local reduces unnecessary data movement and supports a more privacy-respectful operating model.
Clearer governance narrative
For compliance, legal and security readers, local processing is central because it aligns the product story with the protective purpose of the layer.
Who Trust-Prompt Plus is for
Compliance and legal teams
Teams that need a practical control before staff paste regulated, sensitive or confidential material into AI tools.
Executives and founders
Leaders who want an understandable way to support AI adoption without relying on blind trust or after-the-fact incident discovery.
Operations and security
Teams that understand the biggest AI risk often comes from normal human workflow behaviour, not only from technical attacks.
Read the Privacy Policy for Plus
This page explains what Trust-Prompt Plus is, how the governance layer works, what functions it includes, and why local processing matters. For the legal and data-handling details, continue to the dedicated Privacy Policy page.