New Visibility Tools for AI Coding Assistants Highlight a Bigger Identity Problem

AI coding assistants like Claude Code are no longer confined to a browser tab—they can read files, run shell commands, call external tools, and act using whatever credentials exist on a developer's machine. This level of access makes them powerful productivity tools, but also a potential security blind spot. Anthropic has responded by releasing new Compliance API endpoints that give security teams greater visibility into what Claude Code is doing on company systems.

While this is a welcome step, security researchers note that activity logs alone don't solve the core issue: knowing whether an AI agent's access is appropriate in the first place. An agent might be logging its actions correctly, but if it has been granted excessive permissions, or is using credentials it shouldn't have, visibility into its behaviour won't prevent misuse. The real gap is identity governance—ensuring AI tools only have the access they genuinely need, and that this access is regularly reviewed, rather than simply watching what they do after the fact.

For small and medium businesses adopting AI coding tools, this is a timely reminder that convenience features often outpace security controls. As AI agents are given more autonomy to act on developer machines, treating them like any other privileged identity—with defined permissions, oversight, and regular access reviews—is essential to avoid new, hard-to-detect risks.