Security & Responsible AI
Trust is part of the design. Here is how we approach it.
Nine principles, built into every project
Data Privacy
Your data is used only for the work you've agreed, and kept within the boundaries set for each project.
Access Control
Role-based permissions: people and agents see only what they are allowed to see.
Authentication
Every user and system is identified before anything is accessed.
Secure Integrations
Credentials and connections to your systems are set up with care and the narrowest permissions that do the job.
Human Oversight
Approval steps and escalation, plus an autonomy dial you control for each workflow.
Data Retention
How long data is kept is agreed per project.
Monitoring
Activity logs record every action so your team can review it.
Responsible AI Practices
Transparency, testing for quality and safety, and human review of important outputs.
Compliance Considerations
We work with your requirements. We list certifications only if we hold them.
Clear limits, stated up front.
Will not take sensitive actions without approval you have configured.
Will not access data beyond its permissions.
Will not be presented as a human when talking to your customers.
Will not work in the dark: every action is logged.
The autonomy dial, in your hands
Each workflow has an autonomy level. Sensitive steps always wait for the approval you configure.
AI drafts the reply and recommends a refund. A person reads it, edits it and sends it.
We publish only practices AirBrain actually follows. No badges unless held.
Ask a security questionPick one workflow. We'll show you what AI can do with it.
Tell us about the one process that slows your team down. You'll get a straight answer on where an AI agent, automation or custom AI can help, and what a sensible first step looks like.
We don't just build AI. We build intelligence that works for you.