I've noticed that AI governance, AI safety, and AI compliance often get used interchangeably. They're related, but I don't think they're describing the same thing.
The simplest way I've found to think about it is that AI safety is about reducing harmful behavior. If an AI system gives dangerous advice, produces harmful outputs, or behaves in unexpected ways, safety is concerned with preventing those outcomes.
AI compliance is different. It focuses on whether a system meets legal, regulatory, or policy requirements. The question is less "is this safe?" and more "are we meeting the rules we're expected to follow?"
AI governance sits in a slightly different place. It's about ownership, visibility, and control. Who can approve an AI workflow? What records exist? Who is responsible when decisions are made? How can a team understand what happened later if something goes wrong?
Oh, we’re actually using LangChain. We’ll review your service with the team, it sounds very useful.
Super excited to see OpenBox live. Would really appreciate any thoughts and feedback.
OpenBox
The scale at which AI agents are being deployed today makes this the right moment for OpenBox. Runtime governance, cryptographic verification, enterprise-grade compliance - available to every organisation, from day one. Proud to be part of this.
@tahir_mahmood8 Congratulations. And happy product launch.
Vadoo AI
Thanks a lot, @inderpreet_singh1 . Really appreciate the support!