Study finds human reviewers miss about one-third of risky AI coding-agent requests

The Register reports on research indicating that human-in-the-loop review failed to catch roughly one-third of dangerous requests made to an AI coding agent. The article centers on coding-agent safety and suggests that manual approval workflows may not reliably prevent high-risk actions involving sensitive systems or credentials.