Cloud Security's Bottleneck Isn't Detection — It's Finding the Owner Before Touching Production

Someone has to investigate the context around a cloud misconfiguration, identify who owns the affected resource, confirm the proposed fix won't break production, and then do all of that at a volume that outpaces headcount. That is the bottleneck AWS's machine-learning blog describes sitting behind unclosed findings — not clever detection, but the human steps between a report and a change nobody has to roll back tomorrow morning. The post describes Tami, an agent that autonomously investigates ingested findings and assesses whether remediation is safe. AWS reports the approach drove a reduction of over 90 percent in critical cloud exposure within 90 days, with zero production issues. That figure comes from the platform publishing the account of its customer's tool — a first-party claim, useful as a direction rather than as a benchmark a security team can bank on without reproducing it in its own environment.