Four Ways to Deploy More Secure AI Agents

Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as digital coworkers offer clear benefits. For example, they can review a bug report, implement and test a fix, push a patch, and ping a human for review. By handling routine tasks, agents have the potential to deliver large productivity gains. On the other hand, connecting a large language model to workflows introduces security challenges that must be managed carefully to ensure safe and effective deployment of AI agents.