From the course: Build AI Agents with n8n
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Agent security and privacy - n8n Tutorial
From the course: Build AI Agents with n8n
Agent security and privacy
- [Instructor] Now let's talk about security and privacy. This is about protecting your tools, data, and users from accidental leaks or malicious behavior. Why does security matter so much in the case of AI agents? Well, because agents don't just chat, they act. Each tool call touches a real system and real data. That's why security starts with designing limits on what the agent can do from day one. Good security begins with defense by design. That means keeping critical logic outside the model as much as possible. In our presales example, the agent controls the inputs to the quote calculation, but it can't generate the quote directly. We separate the sensitive logic. So a prompt injection can't force the agent to bypass business rules. Let's look at an example. In our pre-sales agent, we apply defense by design. The agent collects input variables, passes them to a secure internal workflow and receives back only the…
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