Guardrails | Steering the machine: Safeguards in the AI era - by Manish Gupta

At Google DeepMind, we treat safety not as an afterthought, but as a core scientific discipline built into foundational architectures. Guided by our Frontier Safety Framework, a set of protocols designed to prepare for and monitor extreme risks, our models undergo rigorous evaluations throughout their development lifecycle. This includes internal red-teaming to systematically uncover vulnerabilities such as prompt injection, alongside valuable external evaluations from third-party experts to ensure safety before public release.