AI Agents: Secure Integration, Data Boundaries and Review

AI agents combine a language model with tools, data sources and permissions so they can take actions, not only answer questions. That extra reach brings risks such as prompt injection, unintended data exposure and tool misuse.

These guides explain those risks, how to integrate an agent with clear permission boundaries, how to scope a knowledge assistant's data, and how governance, security review and ongoing care fit into running agents in production.