Architecting Zero-Trust AI Agents: How to Handle Data Safely
The transition from “Chatbots” to “Autonomous Agents” represents the most significant shift in enterprise software architecture since the move to the cloud. However, as we grant AI agents the ability to use tools, access databases, and execute code, we introduce a terrifying new attack surface.
In a traditional setup, a user interacts with a model. In anĀ Agentic Workflow, the model interacts with your infrastructure. If not properly architected, an agent can become a “super-user” with no accountability, susceptible to prompt injection and data exfiltration.
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