Endpoint Risk

Endpoint risk refers to security and compliance threats that arise from devices like laptops, servers, and mobile phones connecting to your AI systems and data. These risks matter for AI governance because endpoints are often the weakest link in your security chain: a compromised employee device can give attackers access to training data, model weights, or API keys before your central controls even detect the intrusion. Managing endpoint risk requires policies on device management, access controls, and monitoring that extend your AI governance framework all the way to the hardware your teams actually use.

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Corporate PolicyGlobal2026-10-04

Gemini Desktop's Broad Mac File Access Exposes Enterprise Data Boundaries

Google is internally testing a mode for Gemini Desktop on macOS. It would grant the AI agent broad, standing access to files, applications, and the web. No per-action user approval would be required. The feature, discovered in hidden interface references, would allow Gemini to read, create, modify, or delete files beyond explicitly shared folders and interact with apps including Mail and Safari. Only a narrow set of actions, such as financial transactions and accepting legal terms, would still require explicit user confirmation.

Google Gemini agentic AI endpoint risk data loss prevention AI agent permissions Google macOS