The risk posed by AI coding agents that security teams should focus on most is not necessarily that they generate bad code, hallucinate a library, or give a developer the wrong answer. Those things matter, but they are not the behaviors that SecOps teams need to urgently address today.
The real issue is that AI coding agents are no longer just suggesting code. They are directly acting in environments by reading files, editing projects, starting local servers, running shell commands, calling APIs, installing packages, and sometimes touching cloud infrastructure. In other words, they are beginning to behave like developers on the endpoint, which is where things get messy.
For years, endpoint security has depended on the idea that certain behaviors are suspicious in the right context. For example, a shell spawned from an unusual parent process, a script that calls out to an unfamiliar domain, a local process reading sensitive files, or a tool launching a child process that launches another child process. These are not automatically malicious, but they are often worth investigating.
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