What does this equation mean?

$R_{\mathrm{model}}$ is the risk that the underlying weights behave dangerously or unpredictably at the frontier of capability. This is the layer Anthropic’s Responsible Scaling Policy is built to govern: it commits Anthropic to defined AI Safety Level thresholds, to Frontier Safety Roadmaps naming specific safety goals, and to Risk Reports quantifying risk across deployed models, with a designated Responsible Scaling Officer accountable for the policy’s implementation [ 7 ] . $R_{\mathrm{platform}}$ is the risk that the infrastructure carrying a customer’s data and credentials is itself insecure, misconfigured, or non-compliant with a regime the customer is legally bound by. This is what SOC 2, ISO 27001, ISO 42001, and a signed Business Associate Agreement are audited against, and it is the layer most of this article documents. $R_{\mathrm{application}}$ is the risk that a specific thing built on top of a compliant, safety-tested platform — a support agent given too much tool access, a summarization pipeline that echoes a field it shouldn’t, an agent that follows an instruction smuggled inside a fetched document — does something harmful once it is live.