Large language models (LLMs) are making their way into every business process — from support to analysis. But rapid adoption often outpaces the thinking about security.
Which data are you feeding the model? Where does it go? What happens if someone manipulates it? These questions call for governance.
The new risks
Employees pasting sensitive data into public AI tools; models that "hallucinate" wrong information; and prompt injection attacks — all of this demands clear rules.
Whogoverns AI risk? Without governance, innovation turns into a vulnerability.
The fundamentals of AI governance
- A clear policy on what data can be fed to AI
- Approved tools instead of uncontrolled usage
- Verification of outputs before important decisions
- Protection against prompt injection in AI applications
- Training employees on the risks
How to protect yourself
AI is a powerful tool, but it needs a framework to be safe. The right governance lets a business innovate without putting its data and reputation at risk.
Rolling out AI in your business? Let's build a security framework. Get in touch with us.