Artemis Raises $70 Million In Funding

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Artemis, a New York City-based cybersecurity company, has secured $70 million in combined Seed and Series A funding, emerging from stealth approximately six months after its founding in late 2025.

The round structure includes an initial $15 million Seed co-led by First Round Capital and Brightmind, followed by a $55 million Series A led by Felicis, with continued participation from the Seed investors and additional backing from Theory VC, Two Sigma, Lockstep, and a group of prominent cybersecurity industry veterans.

The funding validates strong investor confidence in AI native approaches to security operations (SecOps) amid escalating threats. It positions the company to scale rapidly in a market shifting toward autonomous defense systems capable of matching the speed of modern attacks.

What is Artemis?

Artemis delivers an AI native protection platform designed for real time threat detection, investigation, and automated response. Unlike traditional security information and event management (SIEM) tools or rule based systems that generate alert fatigue and rely on manual triage, Artemis builds a dynamic, organization specific model of the environment. It continuously ingests and correlates telemetry across cloud workloads, identity systems, endpoints, networks, applications, and business context to create adaptive detections that evolve with normal operations.

Key technical differentiators include:

• Autonomous AI agents: These handle end to end workflows, generating custom detections from threat intelligence in hours, performing agentic threat hunting, autonomously investigating signals with follow-up queries, reconstructing full attack narratives, and recommending or executing remediation (such as isolating compromised accounts to block lateral movement).
• Federated querying and real time correlation: Data is analyzed where it resides, avoiding the need for centralized ingestion in many cases, while fusing behavioral logs with contextual insights for precise, low noise alerts.
• Environment intelligence: The platform maps relationships between users, assets, AI tools, and organizational structure, providing posture insights, shadow AI detection, and cost optimization recommendations alongside threat prevention.
• Natural language interface: Security teams can query the system conversationally, with agents delivering actionable reports and timelines.

This architecture enables machine-speed defense, shifting SecOps from reactive, post incident workflows to proactive, real time containment that stops threats before material impact.

The timing of this raise aligns with a fundamental shift in the threat landscape: AI tools have lowered the barrier for sophisticated attacks, enabling even less experienced adversaries to launch automated, multi stage campaigns that unfold in minutes rather than days or weeks. Legacy defenses, fragmented tools with static rules, cannot keep pace, as attackers exploit the same AI advancements for speed, scale, and evasion. Artemis directly counters this by deploying AI to defend at the same velocity, emphasizing autonomous correlation and response over human dependent processes.

In the broader SecOps market, the platform stands out by modeling each customer’s unique environment from the ground up rather than applying generic behavioral analytics or query layers on top of legacy infrastructure. It complements existing SIEM investments while promising significant efficiency gains, addressing the growing demand for platforms that reduce analyst workload and accelerate outcomes in hybrid, multi cloud environments.

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How will Artemis use the funds?

The company plans to allocate the capital toward aggressive expansion of its engineering, research, product, security, and go to market teams. Priorities include deepening platform capabilities, such as enhanced agent autonomy, broader telemetry integration, and advanced AI model collaboration, while accelerating enterprise adoption through sales, marketing, and customer success functions. This build-out supports scaling to handle the massive data volumes already seen in production deployments.

Artemis has moved quickly into production with enterprise customers in technology, banking, and financial services. The platform processes billions of events per hour and over 15,000 TB of data daily for these organizations. Early results show dramatic performance improvements, including a 94-96% reduction in mean time to detect (MTTD) and mean time to respond (MTTR), enabling faster containment and lower risk exposure. The company has closed multiple seven figure deals and is on track for multimillion dollar annual recurring revenue (ARR) by the end of 2026.

This $70 million raise in under a year of operation underscores the intense market appetite for next generation AI cybersecurity solutions. It signals that investors view autonomous, environment-aware platforms as essential infrastructure for the AI era, where traditional human in the loop models are becoming untenable. For Artemis, the capital provides runway to refine its agentic capabilities, expand market reach, and solidify leadership in a category poised for consolidation and high growth.

Overall, the funding reflects not only product market fit but also a broader industry bet: organizations that adopt AI native SecOps early will gain a decisive advantage in defending against AI augmented threats. As enterprises accelerate digital transformation and AI adoption, Artemis is well positioned to capture share by delivering measurable reductions in risk, operational burden, and response times, potentially reshaping how large scale security operations are conducted.

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