Simbian runs AI agents across security operations rather than a single function, covering SOC alert triage, threat hunting and penetration testing. The agents are designed to hand off between each other, so a SOC agent spotting a suspicious entity can trigger a threat hunt, and a pentest agent finding an exposed asset can ask the SOC agent whether detection actually covers it.
That interlock is the substantive idea. Security tooling has long produced findings in isolation, leaving analysts to correlate them; wiring the agents to each other targets the correlation work rather than adding another alert queue.
Its own marketing makes a fair point that a language model alone will not defend a network, which is a more honest framing than most AI security pitches. As always with autonomous security tooling, the failure modes matter more than the demos, and scoped deployment with human review is the sensible path.
