Artemis, a New York-based AI-native cybersecurity platform, has raised $70M in seed and Series A funding led by Felicis. The platform models customer environments to generate adaptive detections, agentic threat hunting, and autonomous investigations, reducing mean time to detect and respond (MTTD/MTTR) by 94%. The capital will fuel hiring across engineering, security, product, and sales roles.
AI SIEM Investments Surge
The raise emerges amid a push toward AI-native security operations. Exabeam has secured $390M total, while Securonix raised $1.06B. Panther Labs obtained $140M, and Stellar Cyber got $103M. Artemis positions itself against these by building environment-specific detections from the ground up, unlike behavioral analytics or query-focused approaches.
AI Attacks Outpace Legacy Tools
Cybersecurity faces AI-driven threats that unfold in seconds, not days, overwhelming traditional SIEMs reliant on static rules. Security teams struggle with talent shortages and multi-domain complexity across cloud, identity, endpoint, and SaaS. Legacy systems require months for value, failing to correlate events into full attack stories.
Adaptive Detections Tune Per Customer
Artemis builds an AI-native platform that ingests federated telemetry to create a dynamic model of each customer's technical and business environment. This enables continuous generation of tailored detections, outperforming generic rules in multi-stage attacks. AI agents handle threat hunting via natural language queries and autonomous investigations, delivering full context without manual tuning.
As co-founder and CEO Shachar Hirshberg noted:
"We built Artemis as an AI-native defense system from the ground up."
Customers like Abnormal Security, Mercury, Wix, Lemonade, and Upwork process billions of events per hour and over 15,000 TB daily through the platform.
Elite VCs Bet on AI SecOps
Felicis led the $55M Series A, with First Round Capital and Brightmind co-leading the $15M seed. Additional backers include Theory Ventures, Lockstep, Two Sigma Ventures, and angels from Abnormal AI, Demisto, Splunk, CrowdStrike, Palo Alto Networks, Microsoft, and Okta. This investor mix signals conviction in AI replacing fragmented legacy tools, especially with founders' track records.
SIEM Market Hits $7B Scale
The SIEM tools market stands at $7B, growing at 8% CAGR. Cloud SIEM expands faster at 17.5% CAGR per the same analysis. Trends favor agentic AI for autonomous hunting amid exploding AI threats and operations complexity. Artemis targets fast-growing tech, fintech, and insurance firms shifting from alert-centric to decision-ready systems.
Founders Led GuardDuty and Abnormal AI
CEO Shachar Hirshberg previously led product for AWS GuardDuty, used by 90% of top 2000 AWS customers, and contributed to Demisto's $560M acquisition by Palo Alto Networks. CTO Dan Shiebler headed AI/ML at Abnormal Security, driving 20x revenue growth, with prior Twitter ML leadership and an Oxford PhD in AI. Their combined expertise validates Artemis' full-lifecycle SecOps approach.
Hiring Doubles Headcount to 65
From 30 employees today, Artemis plans to reach 65 by end-2026, with over 60% of the team Israelis in NYC. The company actively recruits for software engineers, AI/ML talent, security experts, product managers, and sales roles to scale production deployments processing billions of events hourly.