Artemis Secures $70 Million to Launch AI-Native Defense Platform Against Autonomous Threats

New York Startup Emerges with $70 Million War Chest

Artemis, a New York-based cybersecurity firm, officially emerged from stealth today with $70 million in combined Seed and Series A funding. The Series A was led by Felicis, while the seed round was co-led by First Round Capital and Brightmind. The investment group includes prominent industry figures from companies like Splunk, CrowdStrike, and Palo Alto Networks, reflecting a high level of confidence in the company's AI-native approach to enterprise protection.

Solving the Context Gap in Modern Defense

Founded by Shachar Hirshberg, the former head of AWS GuardDuty, and Dan Shiebler, the former head of ML at Abnormal Security, the company aims to close the gap between data collection and actual understanding. Traditional security tools often act as watchtowers that see activity but lack the context to determine if it is authorized. Artemis bridges this gap by creating a proprietary data model that fuses log data with specific business context to understand how an organization actually operates.

Moving Beyond Static Alerts

The platform functions as an autonomous layer across an IT estate, modeling behavior for users, AI agents, and cloud workloads. Instead of generating fragmented alerts, it produces comprehensive 'attack stories' that provide evidence and containment steps. This method allows security teams to transform their role from data assemblers to decision-makers. You can see more about their approach on the Artemis website.

Proven Results at Enterprise Scale

Early adopters in the financial and technology sectors have reported a 94% reduction in mean time to detect and respond to security events. The system is built to handle massive scale, currently analyzing over 15,000TB of data daily and billions of events every hour. This efficiency is partly due to federated querying, which allows Artemis to analyze data within existing storage rather than forcing expensive data migrations.

The Era of Agentic Defense

As attackers begin to use frontier AI to probe targets continuously, Artemis represents a necessary evolution in defensive strategy. The system uses AI reasoning to evaluate whether sequences of actions make sense for a specific environment. By automating the investigation process at machine speed, the platform ensures that defenders can keep pace with autonomous threats. The company plans to use its new capital to double its workforce by the end of 2026.