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This article details Roboflow Agent's specific data handling protocols, addressing enterprise concerns regarding DLP, model training on customer inputs, and PII protection when interacting with third-party LLMs. It clarifies that while the agent utilizes external model providers for inference, agreements are in place to prevent unauthorized training on user data, directly impacting how organizations assess AI adoption risks.

Sursă care acoperăRoboflow Blog

How Roboflow Agent Keeps Your Data Inside the Lines

Roboflow Blog5 noiembrie 20265 min de cititArticolul și perspectiva sunt în engleză.

Before you approve an AI agent, you need to know exactly where your images, prompts, and results end up. This post maps every path for Roboflow Agent.

Before you approve an AI agent, you need to know exactly where your images, prompts, and results end up. This post maps every path for Roboflow Agent. Someone on your team has probably already asked to use an AI agent to build their next inspection workflow. If you run IT or security, that request lands on your desk with a list of questions attached, and "trust us" isn't an answer you can take to your CISO. These are the questions we hear most from enterprise IT teams before they sign off: Data loss prevention (DLP). Where does…

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