Artemis Security

Builds a dynamic, continuously updated model of the customer's environment (identity, network, cloud) to autonomously correlate signals and surface attack narratives rather than raw alerts -- a genuinely novel take on SOC/SIEM architecture aimed at the 'AI vs AI' threat landscape.

Already has named customers including Mercury, Wix, Lemonade and Abnormal AI despite emerging from stealth very recently, which is unusually strong early operational validation for a company of its age.

Emerged from stealth with a combined $70M in seed and Series A funding from Felicis, First Round Capital and Brightmind, with participation from Two Sigma and founders of Demisto and Abnormal AI -- an exceptionally large and credibly-backed raise for such a young company.

Aims to replace the alert-fatigue-prone SIEM/SOC paradigm with autonomous investigation and attack-narrative generation, which -- if it holds up at scale -- would be a meaningful disruption to how security operations centers are staffed and run.

The reported 94% reduction in mean-time-to-respond is an early, self-reported figure from a company that only recently exited stealth; independent, long-term validation has not yet had time to accumulate.

Autonomous, AI-driven security operations addressing AI-powered attacks is likely to be a durable and growing need as both attackers and defenders increasingly rely on AI-scale automation.