Artemis launches Orion-1, a security model it says beats GPT-6 Sol on its own benchmark
US startup Artemis Security has launched Orion-1, a purpose-built security model that investigates and responds to attacks on corporate networks on its own. It pulls log data from auth services, cloud environments, corporate endpoints, SaaS apps and network gear, links signals such as an account login, new cloud permissions and a freshly created inbox rule to a single attacker, then assigns a confidence score, locks in a verdict and recommends or kicks off countermeasures. On Artemis' own Decision-Grade Readiness benchmark, Orion-1 scored 80.8 in attack reconstruction versus 58.3 for the next-best model, GPT-6 Sol, and also faced Claude Opus 5.5, Grok 4.7 and Kimi K3; Orion-1 is in private preview with select customers, where high-impact actions require human approval by default.
As vendors restrict cybersecurity capabilities in frontier models, purpose-built security models offer defenders an alternative route, though these results rest on the vendor's own benchmark.