Artemis Emerges from Stealth with $70 Million to Build AI-Driven Security Platform

Artemis has launched publicly after raising $70 million in seed and Series A funding, announced in a company blog post. The Series A was led by Felicis, while the seed round was co-led by First Round Capital and Brightmind, with participation from Theory VC, Lockstep, and cybersecurity leaders from firms such as Splunk, CrowdStrike, Palo Alto Networks, Microsoft, and Okta.

The company’s platform uses AI to continuously model a customer’s environment, integrating data across identity systems, cloud workloads, endpoints, and applications. This approach allows Artemis to generate adaptive detections tailored to each environment and perform autonomous investigations that provide full context for security events.

According to Artemis, early customers have reduced their average detection and response times by 94%, with the system analyzing more than 15,000 terabytes of data daily and billions of events hourly. The startup is already in production with large enterprises across financial services, technology, and insurance sectors.

Artemis was founded by former leaders from Demisto, Palo Alto Networks, AWS GuardDuty, and Abnormal AI. Their experience building large-scale security and AI systems shaped the platform’s design, which focuses on reasoning about enterprise activity rather than simply detecting anomalies.