… This includes sophisticated security mechanisms which could prevent malicious actors from obtaining raw access to model weights that allow them to bypass our safety guardrails; mitigations that limit the potential for misuse when the model is deployed; and threat modelling research that helps ident… …
… Our cybersecurity evaluation framework is designed to support that shift by offering a clear view of how AI might also be misused, and where existing cyber protections may fall short. …
… We partner closely with in-house biologists, security experts and external partners to understand potential threats, test our models against them and build in robust safeguards. …
… Key updates to the framework include: Security Level recommendations for our Critical Capability Levels CCLs , helping to identify where the strongest efforts to curb exfiltration risk are needed Implementing a more consistent procedure for how we apply deployment mitigations Outlining an industry … …
May 20, 2025 Responsibility & Safety Advancing Gemini's security safeguards Google DeepMind Security & Privacy Research Team Imagine asking your AI agent to summarize your latest emails — a seemingly straightforward task. …
… This allows us to move beyond synthetic cybersecurity examples and teach our models how real security professionals work. …
… These mitigations will focus primarily on security preventing the exfiltration of models and deployment preventing misuse of critical capabilities . …