AI is increasingly moving from central cloud services into customer-owned environments.
That changes the security model.
When an organisation runs AI on an endpoint, server or other edge device, it needs to protect not only the data being processed but also the model, software supply chain and credentials surrounding it.
Microsoft's 2026 security research highlights the need to verify the systems and AI assets that organisations trust before allowing sensitive information or credentials to interact with them.
The practical lesson is familiar: AI does not remove ordinary endpoint-security requirements.
Keep the device updated. Restrict access. Protect credentials. Monitor unexpected behaviour.
The AI may be new. The security principles are not.