Artemis Will get $70M to Construct AI Brokers for Detection, Response

A SIEM alternative startup based by a former Amazon GuardDuty chief emerged from stealth with $70 million to establish threats by higher correlating telemetry knowledge.

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The Felicis-led Collection A funding spherical will allow New York-based Artemis to correlate knowledge throughout cloud environments, identification techniques, networks, endpoints and functions to higher perceive assaults as they unfold, mentioned co-founder and CEO Shachar Hirshberg. This can overcome the fragmentation inherent in conventional safety architectures, the place instruments fail to offer a cohesive view of attacker habits.

“We have already got the fundamental product deployed in a few of the largest environments on the earth, in addition to the a few of the most refined environments on the earth, and prospects have already began attending to us inbound,” Hirshberg informed ISMG.

Artemis, based in 2025, employs 30 folks and has accomplished a $15 million seed spherical led by First Spherical Capital and Brightmind in addition to a $55 million Collection A spherical. The corporate has been led since its inception by Hirshberg, who beforehand led product administration for AWS’ GuardDuty menace detection service for greater than three years (see: AWS Snags Skyhigh’s Gee Rittenhouse to Run Safety Enterprise).

Tuning Detections Based mostly on Buyer’s Particular Atmosphere

In contrast to static detection guidelines which are utilized uniformly throughout organizations, Artemis dynamically generates and tunes detections primarily based on the particular traits of every buyer’s setting. Hirshberg underscored that even inside a single enterprise, completely different enterprise items might require distinct detection logic as a consequence of variations in infrastructure and operations, which can enhance detection accuracy.

“We repeatedly generate and tune detections which are objective constructed for this particular buyer, and even for some elements of their setting suppose like a giant enterprise,” Hirshberg mentioned.

The usage of pure language interfaces simplifies safety operations, which Hirshberg sees as a solution to get rid of the necessity for specialised question languages and guide knowledge exploration. By enabling analysts to ask questions and conduct investigations utilizing plain language, Artemis reduces the technical barrier to entry and accelerates workflows that may in any other case require vital experience and time, he mentioned.

“It seems like they’ve a system that simply does what they need, they usually level in the proper course, and issues simply occur,” Hirshberg mentioned. “They do not need to spend three days writing queries manually.”

With Artemis, actions that when took weeks comparable to correlating alerts, constructing timelines and conducting investigations can now be accomplished in minutes. Investigations that traditionally concerned a number of instruments, guide correlations and prolonged evaluation could be automated and streamlined with Artemis, Hirshberg mentioned.

“Artemis helps corporations defend and cease assaults in your setting throughout their know-how stack,” Hirshberg mentioned. “We monitor the logs from throughout older environments – cloud, identification, community, endpoint, firewall, first-party functions – and join the dots throughout the completely different elements of the stack.”

Defining How A lot Autonomy Artemis’s System Has

Artemis’s agentic safety entails utilizing AI brokers to autonomously deal with the total life cycle of menace detection and response from figuring out anomalies to investigating incidents and executing remediation actions. Whereas the imaginative and prescient is extremely automated, Hirshberg mentioned it is designed to function inside a framework that also incorporates human oversight.

“We routinely generate and tune detections repeatedly primarily based on the operations of your particular firm, that means you actually get detections that get how you’re employed and the way your belongings and entities work together with one another,” Hirshberg mentioned. “Then they’ve a a lot greater efficacy fee.”

Artemis goals to handle these challenges by utilizing AI brokers to deal with lots of the underlying duties, he mentioned. These brokers can normalize knowledge, generate detections and execute queries routinely, decreasing the burden on human analysts. Hirshberg mentioned this helps safety professionals concentrate on higher-value actions comparable to decision-making and technique reasonably than repetitive technical work.

“Each group is completely different, so detection that’s good for a standard finance establishment working largely on-prem will not work in an efficient method for an AI-native hyper development cloud-native startup, as a result of they’re in two completely different locations proper now,” Hirshberg mentioned.

Regardless of the push towards automation, Hirshberg mentioned people are central to the method. Artemis helps corporations outline how a lot autonomy the system has, enabling a spectrum from advisory steering to completely automated motion. He famous that prospects have a tendency to begin with guidance-based workflows and progressively enhance automation as belief within the system grows, significantly for low-risk actions.

“We’re concentrating on the biggest market of cybersecurity,” Hirshberg mentioned. “So, there’s a super alternative to seize that very excessive want proper now.”