Your incident-response playbook assumes you have days to detect and contain. A recent Sygnia investigation says an attacker needed 72 hours to go from initial access to broad cloud compromise.

Sygnia, an incident-response firm, documented the case in a report on AI-assisted cloud attacks. The attacker did not deploy novel malware or zero-days. The entry point was a stored AWS key stolen through a web-application flaw; AI automation then drove the rest of the movement through the environment at high speed.

Sygnia frames the shift as one of pace and coordination rather than technique: old methods run fast enough and wide enough that defenders struggle to keep up. Accessible AI lowers the barrier to entry and accelerates attack workflows, letting less sophisticated actors operate at unusual speed and scale.

Mean-time-to-detect targets and manual triage queues sized for a multi-day dwell time no longer hold. Escalation chains that route decisions through several humans before triggering containment are a critical vulnerability.

The fix is not a new trust framework. Sygnia’s recommended controls are access and containment measures you can pre-stage and trigger automatically: IP allowlisting for cloud management, restricting outbound connectivity, WAF routing, and network segmentation.

Pre-authorize containment actions, tighten detection SLAs, and rehearse against a three-day compromise window, not a two-week one.