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Microsoft: AI agents at work should be secured like insiders, not trusted by default
On 19 October Microsoft argued that AI agents working inside organisations act as insiders, with access to data, tools and systems, and are often given more permissions than they need. Hayete Gallot, who leads Microsoft Security, wrote that frontier models cannot simply be trusted, not because they are malicious, but because training to reach results can lead them to take shortcuts. Microsoft described new controls, including permissions limited to a single task that expire when it ends, human approval for higher-impact actions, continuous risk scoring for agents and an isolated environment for running them. It says it can now discover 60 types of local agents, including Claude Code, OpenAI Codex and GitHub Copilot. No release dates were given.
What it means for you
If you use AI agents that can read files, send messages or change systems, give each one only the access its task needs and keep a person approving consequential actions. It is worth asking your IT team which agents are running on company devices and what they are allowed to do.