Artemis Security Grows Revenue 100x in Its First Year, Names Arun Singh Chief Growth Officer

 Artemis Security, the AI-native platform for security operations, announced the appointment of Arun Singh as Chief Growth Officer. The appointment comes one day after Artemis was named to the 2026–27 Fortune Cyber 60, and caps a first year in which the company grew revenue more than 100x and has been adopted across the market from some of the world’s largest enterprises to AI-native startups.

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“From Fortune 500 enterprises to AI-native startups, Artemis has proven that defenders can stop attacks at AI speed,” said Shachar Hirshberg, co-founder and CEO of Artemis. “Unlike most AI in security operations, which starts after an alert fires, Artemis learns each customer’s environment, keeps a living model of it, and writes and tunes detections for each customer. From the same model, it hunts for threats, investigates every case and responds. In our first year, it flagged 92% of confirmed attacks at the point of entry within seconds. Arun has scaled category-defining products in large markets before. He is the right leader for our next phase of growth.”

As Chief Growth Officer, Singh will lead Artemis into its next phase of growth. He brings cybersecurity and enterprise software experience from Salesforce, Okta, Cloudflare, Abnormal AI and Drata. Most recently, as CMO at Drata, he helped define the Trust Management category and took the company from compliance automation to a strategic enterprise platform. Before that, he led marketing at Abnormal AI as ARR grew more than 12x in three years, and the company was recognized as a market leader by Gartner and Forrester.

“Attackers now move at AI speed, while security operations still move at human speed,” said Singh. “Artemis closes that gap by putting the defender’s one lasting advantage, knowledge of their own environment, to work at the moment of detection. Enterprises are adopting it at a pace I have rarely seen in my career, and my focus now is scaling that momentum. I look forward to bringing Artemis to many more security teams.”

A Year of Hypergrowth

Artemis was named to the 2026–27 Fortune Cyber 60, which recognizes 60 of the most important venture-backed cybersecurity companies and is presented by Lightspeed Venture Partners and AWS in partnership with Fortune. Anthropic named Artemis one of the 10 most AI-native startups in the world, and SACR and Latio each named Artemis a leader in their independent analyst reports.

Artemis is the only security operations startup in CrowdStrike’s QuiltWorks alliance. Artemis also works with Anthropic as a technology partner and connects to more than 250 tools across identity, cloud, endpoint, SIEM, ticketing and collaboration.

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Key milestones from the year:

• Growth: Grew revenue more than 100x in its first year
• Customers: Dozens of Fortune 500 and Global 2000 enterprises and AI leaders, including Cursor, Mercury, Lemonade, Wix, Quartermaster and a major global financial institution.
• Scale: Analyzes hundreds of billions of security events a day and investigates more than 70,000 cases a month
• Products: Shipped five products in twelve months on one platform: AI SIEM, AI SOC, AI SOAR, AI Threat Hunting and AI MDR
• Outcomes: A regulated enterprise with tens of thousands of employees cut mean time to resolution by 96%. Investigations that took multiple hours now take under five minutes
• Detection: 92% of the confirmed attacks Artemis caught were flagged at the point of entry
• Team: Grew to more than 55 people
• Funding: Raised $70 million in seed and Series A funding within six months from Felicis, First Round, Two Sigma and others

Closing the Gap Between Attackers and Defenders

For twenty years, the SIEM has sat at the center of security operations. It was built to search logs when analysts had hours or days to respond. AI-powered attacks now move faster than any security team can hire to keep up, and a faster search engine does not help while analysts still assemble every piece of evidence by hand.

Artemis takes a different approach. It builds a living model of each organization and uses it to run detection, threat hunting and investigation continuously. Every case arrives already investigated, with response actions ready for an analyst to approve or, where the customer allows, to run automatically. Artemis’ first year shows that an AI-native platform can replace the legacy security operations stack in production at demanding enterprises.

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Key differentiators include:

• Environment Intelligence: Artemis models every user, account, device, resource and AI agent, drawing on the systems that already know how the organization works, including HR, identity, cloud and asset inventory. Detection runs from that model, with adaptive detectors written and auto-tuned for each environment, so Artemis catches attacks that never trigger a rule in a legacy SIEM.
• Decision-grade cases with customer-governed autonomy: Every case arrives with a plain-English summary, an Artemis verdict, the full record of what the AI investigated and concluded, and response actions ready to run. Artemis is architected to contain attacks automatically, and each customer chooses which actions run on their own and which wait for an analyst’s one-click approval.
• Unbeatable innovation speed: Artemis ships customer feature requests within 48 hours of submission. In one year, it has launched five major products, more than 8,000 features and more than 38,000 detectors, and completed 30,000 pull requests.

What Customers Say

“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,” said Tom Daniels, CISO at Cursor.

“It’s like having a service working 24 hours a day that never gets tired, doing what you would normally have to hire a managed service for, with more consistency and higher quality,” said Jonathan Jaffe, CISO at Lemonade.