Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Coding agent security has a framing problem. Most security conversations around these tools center on the wrong question. 'Did the agent have permission to do that?' is a reasonable place to start, but in the context of autonomous AI systems, it's not where the risk actually lives. In Zenity Labs' research into the coding agent threat model, the pattern that keeps surfacing isn't that agents are doing things they aren't allowed to do.

The discussion during our recent webinar made one thing clear. Security teams aren't asking whether coding agents will become part of the enterprise. They're asking how to adopt them safely. The audience questions focused on practical concerns that many organizations are facing today, from autonomous execution to supply chain risk and governance. Here are the five questions that generated the most discussion.

Coding agents have become one of the fastest-adopted AI technologies in the enterprise. They help developers write code, debug applications, automate repetitive tasks, and ship software faster than ever before. They also introduce a security challenge unlike anything most organizations have faced. Unlike traditional AI assistants that generate content, coding agents take action.

A few years ago, I was sitting across from a security leader at a large enterprise. They had just deployed their first wave of AI agents. When I asked how they were thinking about the security of it, they paused for a moment and then said something I haven’t forgotten. I felt that. Not just as a researcher, but as someone who had been in enough of those rooms to know it was not one person’s gap. It was the whole industry’s gap.