In a live run of the Part 2 attack, Stream.Security's AI SOC detected the compromised key, reconstructed the full attack chain including a hidden persistence backdoor, and deleted the stolen credential on its own, stopping the attack in about ten minutes with no human in the loop. Part 4 of the Building the Agentic SOC series is about the decision that made that safe: which response actions a human lets an AI agent take autonomously, and why that call belongs to the Security Architect.

One attack in Part 2 threw off four separate alerts, and the obvious fix, one investigation agent per alert, rebuilds every failure of the overloaded human SOC at machine speed and cost. Part 3 of the Building the Agentic SOC series lays out the alternative: every related alert attaches to one linked case, worked by a small set of specialized agents, a dispatcher and case leader, over one shared model of the case and the environment.

As enterprises accelerate their cloud adoption, traditional security tools struggle to keep pace. The cloud introduces unique attack surfaces, rapid changes in infrastructure, and cloud-specific threats that solutions like SIEM, EDR, and SOAR weren’t designed to handle. This is where Cloud Detection and Response (CDR) comes into play—providing real-time cloud visibility, contextual insights, and guided response to threats across multi-cloud environments.

Announcing Stream's StreamLine Integration Program