Artemis Launches With AI-Native SecOps Platform

Artemis has emerged from stealth with $70 million in funding and a platform designed to address AI-driven attacks that move faster than traditional security operations can handle. The company is positioning its approach around real-time detection and automated response, built for environments where threats evolve continuously and execute within minutes.

The platform centers on a dynamic data model that pulls telemetry from across cloud, identity, endpoint, and application environments, then layers in business context to assess whether activity is normal for a given organization. This allows Artemis to generate detections tailored to each customer and correlate signals into a single narrative, reducing the need for manual investigation across multiple tools.

Artemis also shifts how data is accessed and analyzed. Instead of ingesting and storing all security data upfront, the platform queries data on demand from existing sources. This approach is intended to reduce costs while maintaining visibility, particularly in large environments where data volumes continue to grow alongside AI adoption.

Early deployments point to operational impact. The company reports faster investigation cycles and the ability to surface risks such as over-privileged accounts and undocumented integrations that were not visible in existing tools. As attacks increasingly operate at machine speed, the platform is designed to support automated response actions, including isolating compromised identities before threats can move laterally.