AI governance and uncontrolled use management
Structure the use of AI tools by your employees through a clear policy, training, and security filters.
The starting difficulty
Employees use public AI tools by pasting client data or sensitive information, creating data leak risks and nLPD non-compliance.
Workflow inputs
- →Current AI usage habits of the team
- →Applicable industry regulations
- →Internal data security guidelines
- →Operational roles and responsibilities
What Cytria builds
- ✓Audit and cataloguing of AI tools used internally.
- ✓Drafting of an AI usage policy tailored to your industry.
- ✓Configuration of firewalls and security filters to block sensitive data.
- ✓Selection and deployment of approved, sovereign AI tools.
Validation & control points
- ✓An internal committee or manager validates the list of authorized AI tools.
- ✓The AI usage policy must be signed by all employees.
- ✓An escalation process is defined to evaluate new tool requests.
Expected deliverable
Signed usage policy, configured security filters, and regular access reports.
Security & Hosting
Setup of encrypted access gateways preventing query storage by model providers.
Step by step process
Realistic scenario
A fiduciary based in Fribourg implemented our governance policy with network filters. Financial data leak risks were neutralized while giving employees secure access to a private model.
Implementation journey
Phase 1
Audit of usages and non-compliance risks.
Phase 2
Co-creation workshop for the AI governance policy.
Phase 3
Setup of network filters and private access gateways.
Phase 4
Mandatory training session for all employees.
Aligned delivery
This use case maps directly to our primary Professional training model.
Explore Professional trainingBring your workflow.
Bring your specific business situation. We will help scope the data perimeter, define safety controls, and test a private prototype.