QUANTGENIE SHIELD PILOT OFFERING
More AI possibility.
Clearer data boundaries.
Explore AI adoption with control over what models can access and what information can leave your organization. Start with one workflow and a clearly defined pilot.
THE PROPOSED APPROACH
Control the journey,
not just the prompt.
Sensitive information needs controls around the whole workflow. Each layer has a specific responsibility.
Authenticate
Establish who is making the request.
Check access
Retrieve only information they can access.
Inspect data
Apply agreed classification and detection rules.
Apply policy
Mask, block, or route to an approved model.
Check output
Validate the response before release.
Record events
Keep minimal audit information.
SEE THE IDEA IN ACTION
Same ambition.
Different data decisions.
Choose a fictional scenario to see how a policy could change what reaches a model.
A fictional customer-support request with names and contact details replaced before external processing.
Summarize the support request from Alex Morgan at Cedar Labs. Contact: alex@cedar.example Issue: The dashboard export fails on Tuesdays.
Summarize the support request from [PERSON_01] at [ORG_01]. Contact: [EMAIL_01] Issue: The dashboard export fails on Tuesdays.
No uploads, network requests, or AI calls. These preset scenarios illustrate decisions; they do not detect or protect real data. A production gateway is a separate, evaluated implementation.
FROM CONCEPT TO A FOCUSED PILOT
Start narrow. Learn deliberately.
An assessment and implementation engagement, scoped around your environment and one useful workflow.
Assess
Map the workflow, classify the data, identify permitted destinations, and define measurable acceptance criteria.
Pilot
Implement an agreed set of controls, test realistic failure cases, and evaluate usefulness alongside protection.
Operate
Agree responsibilities for policy updates, monitoring, regression testing, and response to incidents.
CLEAR EXPECTATIONS
Designed to reduce risk.
Evaluated in context.
Shield is a proposed pilot service, not an existing universal security product or a guarantee against data leakage.
What the pilot must account for
- Masking may miss sensitive data, and business context can remain identifying.
- Private storage does not make external model processing private.
- Access checks belong in the application, not only in model instructions.
- Private-model routes require approved infrastructure and verified controls.
Architecture reference: OWASP RAG security guidance ↗
YOUR NEXT CHAPTER
Where would safer AI make a difference?
Bring one workflow. We’ll help explore its data boundaries and a sensible pilot scope.