Abnormal AI buying intent

Thrilled to join Artemis Security on the Founding GTM Team 🚀 During my time at Abnormal AI, I sat with hundreds of enterprise security teams and watched the same painful patterns repeat: • Data forced into cold storage because ingestion costs were just too high. • Detection rules left untouched because teams didn't have the engineering bandwidth to maintain them. • AI-powered attacks moving faster than human teams could ever respond. Most platforms focus on helping you respond to alerts faster. Artemis makes sure the right alerts fire in the first place. We build a dynamic model of how your organization actually operates—fusing behavioral data across users, machines, cloud, and apps with business context. Then, Artemis generates tailored detections, investigates autonomously, and surfaces coherent attack stories instead of flooding the SOC with noise. Best of all? Security teams can now hunt threats across their entire environment in natural language. No SPL, no KQL, and no niche query expertise required. But it goes beyond reactive search. Artemis introduces true agentic threat hunting. The platform proactively hunts for malicious activity, automatically ingests external threat intelligence, and maps it directly to your environment to close coverage gaps in minutes, not weeks. I’ve seen what happens when the product is real and the market timing is exactly right. I am seeing it again. (Link to the full story in the comments 👇)