US cybersecurity startup Artemis this week emerged from stealth mode with $70 million in combined seed and Series A funding.
Founded in 2025, New York-based Artemis has built an AI-based platform to detect and contain threats across applications, users, machines, and cloud workloads.
Built for the AI-powered threat landscape, Artemis aims to provide defenders with the speed and adaptability of attackers.
Its platform relies on a dynamic data model built from customer telemetry that combines behavioral log data with business context to identify abnormal behavior within customers’ environments.
The solution generates detections based on each organization’s characteristics, autonomously investigates alerts, and identifies relevant attack paths. Customers can automatically apply remediations, the company says.
Instead of storing all data upfront, Artemis retrieves it on demand from cloud sources and logs, reducing costs and providing full visibility.
The solution can be used alongside existing tools, such as legacy SIEMs, and is already used by technology, banking, and financial services organizations, the company says.
Artemis’ backers include Brightmind, Felicis, First Round Capital, Lockstep, Theory VC, Two Sigma Ventures, and various angel investors.
“The real breakthrough isn’t just using better AI models, but in giving those models deep, structured understanding of how an organization functions, making reliable detection and automated response possible,” said Artemis co-founder and CTO Dan Shiebler.
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