What Is Inside an AI Governance Framework
The output is a working set of controls, not a policy document that sits in a drawer. Here is what we define, how we build it in, and what you walk away with.
Controls that live in how AI runs
Who can do what, and what needs a check
We tie access to roles, so each person and tool can only reach the data and actions they should, and we set human approval on the actions that carry risk.
- Role-based access to tools and data.
- Approval steps on risky actions.
- Clear rules for what AI may do alone.
Sensitive data stays controlled and private
We define what data AI can access, how it is protected in use, and who can see the output, so sensitive information does not leak through an AI tool.
- Limits on the data AI can access.
- Protection for sensitive information.
- Access rules on the results too.
A record of everything, ready for review
Every AI action is logged and monitored, so you can see what happened and prove it, and the whole setup is lined up with your policies and the rules you follow.
- A full audit trail of AI actions.
- Live monitoring of what is running.
- Compliance with your policies and rules.
Everything the framework delivers
Access rules
Role-based access to AI tools and the data they can touch.
Approval workflows
Human checks on the actions that carry risk.
Data controls
Protection and privacy rules for the data AI uses.
Audit trail
A record of every AI action, ready for review.
Monitoring
A live view of what AI is running and how it behaves.
Compliance view
How AI use lines up with your policies and rules.
Put the Right Controls Around Your AI
Book a free consultation. We will look at how you use AI and scope the governance and security controls it needs.
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