Artemis: $70 Million Funding Launches AI-Native Cybersecurity Platform To Combat Machine-Speed Attacks
Publish Date: 2026-04-21 23:47:00
Source Domain: pulse2.com
Artemis emerged from stealth with $70 million in combined seed and Series A funding, positioning itself to address a rapidly evolving threat landscape driven by AI-powered cyberattacks.
The Series A round was led by Felicis, with participation from prior investors and cybersecurity industry leaders. The funding comes just six months after the company’s founding, underscoring strong early demand for its platform and the urgency of its mission.
Artemis is designed to replace traditional, rule-based security detection systems with an adaptive, AI-native approach capable of operating at machine speed. As cyberattacks increasingly leverage artificial intelligence to evolve in real time and evade static defenses, the company aims to provide enterprises with automated detection and response capabilities that match the speed and sophistication of modern threats.
At the core of Artemis is a proprietary dynamic data model that integrates behavioral log data across users, machines, cloud environments, and applications, enriched with business context. This enables the platform to understand what constitutes normal activity within a specific organization and identify anomalies with greater precision.
Rather than generating fragmented alerts, Artemis correlates signals across systems to produce unified attack narratives, reducing the need for manual investigation. The platform also enables automated response actions, such as isolating compromised identities, allowing organizations to contain threats before they spread.
The company is already deployed in production environments, processing billions of events per hour for enterprise customers across industries including technology and financial services. Early deployments have demonstrated significant efficiency gains, including substantial reductions in investigation times and improved visibility into previously undetected risks.
Artemis also differentiates itself with a federated data approach that retrieves…
