Detect & stop attacks at machine speed.

“At Cursor we know what great AI products look like. Artemis is the first time we have seen that same standard applied to security, detecting and responding at the speed our environment actually moves.”

Six months ago, Shachar Hirshberg and Dan Shiebler walked into the CrowdStrike + Amazon Web Services (AWS) + NVIDIA Cybersecurity Startup Accelerator with a thesis. Now Artemis Security emerges from stealth with $70M from Felicis, First Round Capital, and Brightmind Partners.

Congratulations to the Artemis team! Excited to see you build on Falcon, driving even more next-gen SIEM adoption.

“Scale in security operations only works when intelligence quality and operational efficiency improve together. Artemis turns data into actionable intelligence in a way that feels natural, efficient, and adaptive to the environment it operates in. That’s what forward-looking Detection and Response teams need to stay effective at scale.”

“Artemis is a 10x force multiplier for my team. It surfaces the security findings my team needs but doesn’t have time to hunt for manually. It quickly became part of how we maintain continuous visibility across our environment.”

“Working on cutting edge security products every day, I know what great looks like. We have an exceptionally high bar for the tools we evaluate internally.
Artemis exceeds that bar because it’s doing something genuinely different – it feels less like a tool you operate and more like a system that understands your environment and works alongside you. It surfaces the right context, connects dots across systems, and lets you move from question to answer without friction.”

“What sets Artemis apart is how well it understands our specific environment.
The detections aren’t generic — they’re tuned to what’s actually happening in our infrastructure. When the system flags something, my team trusts it, and when it identifies a false positive, it explains why. That level of precision didn’t exist before.”

“Security should enable the business, not slow it down. Traditional tools increase visibility but introduce complexity and drag on execution. Artemis changes that model. It converts data into intelligence without adding operational overhead, aligns with existing workflows, and continuously adapts to the environment. This is the standard for AI-native SecOps”

“Artemis feels like it was designed by people who have actually worked in and run SOCs. The interface prioritizes what matters most, making key workflows and insights easy to access without unnecessary friction.”

I spent eight years as CEO of Splunk. I believe in detection deeply. I also believe, and I’ve been saying this publicly, that detection alone is no longer enough against what’s coming. The threat landscape has gone through a radical phase shift that is adamantly demanding an aggressive focus on containment, coupled with the right detection approach.

Shachar Hirshberg and Dan Shiebler are building the right answer to the detection half. An AI-native platform that builds a living model of your environment, autonomously correlates signals across identity, network, and cloud, and surfaces attack narratives instead of alert noise. Early deployments are cutting mean time to detect and respond by 94%. That is what detection looks like when it is designed for AI-speed attacks rather than the threat landscape of ten years ago.

Detection without containment is sonar without watertight compartments. This team is doing their part. Proud to be backing them.

“In a global financial institution with strict regulatory requirements and complex infrastructure, trust in security tooling isn’t optional – it’s foundational. Artemis earns trust by quickly integrating with enterprise environments and delivering contextualized intelligence that security teams could act on immediately, while adapting to the specific threat landscape each sector faces.”

“Artemis integrated smoothly into our environment, and the detection quality has been strong. It helps bring together signals from across our systems, giving the team better context during investigations.”