Thank you, Chair.
Thanks again to the witnesses for being here for this critical study. You've all touched on some pretty key components already.
I want to spend my time looking at the security dimension of what we're building here, because I think it's widely received by both the public and policy-makers that we need control of our own data, and we need our own infrastructure.
Something happened recently that highlights the risks that are facing us. There's a difference between AI as tools, as we know, and AI agents that can act autonomously. Last week, Anthropic announced that one of its AI models had autonomously exploited software vulnerabilities across almost every single major operating system and browser, including bugs that had been buried in code for decades at that point. That same model, in safety testing, broke out of a sandboxed environment, accessed the Internet and emailed the researcher running the project.
All three of your organizations are operating AI in sensitive Canadian ecosystems, but I'll start with Bell.
When you hear something like this, how does this make you think about the security of the infrastructure that you're building?
