Artemis Security names Arun Singh Chief Growth Officer. Thu, 29th Oct 2026 (Today) Artemis Security has appointed Arun Singh as Chief Growth Officer, following a year in which the cyber security company said its revenue grew more than 100-fold. Singh joins as Artemis looks to build on rapid commercial growth in its first year of operations. In that time, the company said it went into production at large enterprises, raised USD $70 million in seed and Series A funding within six months, and shipped five products on a single platform over 12 months. The appointment also follows Artemis being named to the Fortune Cyber 60, a list of venture-backed cyber security companies presented by Lightspeed Venture Partners and AWS in partnership with Fortune. Singh has held roles at Salesforce, Okta, Cloudflare, Abnormal AI and Drata. Most recently, he was Chief Marketing Officer at Drata, where Artemis said he helped expand the company from compliance automation into a broader enterprise platform. Before that, he led marketing at Abnormal AI during a period when annual recurring revenue grew more than 12-fold in three years, according to Artemis. Chief Executive Officer and Co-Founder Shachar Hirshberg outlined the case for the hire. "From Fortune 500 enterprises to AI-native startups, Artemis has proven that defenders can stop attacks at AI speed. 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," said Hirshberg. Growth push Singh will lead Artemis's next stage of growth as it targets wider adoption among enterprise security teams. The company sells security operations software, including AI SIEM, AI SOC, AI SOAR, AI Threat Hunting and AI MDR. According to Artemis, its customer list includes Cursor, Mercury, Lemonade, Wix, Quartermaster and an unnamed global financial institution. It said it serves dozens of Fortune 500 and Global 2000 enterprises, as well as AI-focused businesses. The company also disclosed operating figures to show scale, saying its platform analyses hundreds of billions of security events a day and investigates more than 70,000 cases a month. Artemis argues that the pace of AI-driven attacks has exposed the limits of older security operations tools. It said traditional SIEM products were designed for an era when analysts had hours or days to search logs and piece together incidents manually. By contrast, Artemis said its software builds a model of each customer's environment using data from HR, identity, cloud and asset inventory systems. It then uses that model for detection, investigation and response, with actions either approved by analysts or run automatically if the customer allows it. The company said a regulated enterprise with tens of thousands of employees cut mean time to resolution by 96%, reducing investigations from several hours to under five minutes. Market position Beyond the Fortune recognition, Artemis said Anthropic named it among the 10 most AI-native startups in the world, while analyst firms SACR and Latio identified it as a leader in their reports. It also said it is the only security operations startup in CrowdStrike's QuiltWorks alliance. Artemis said it connects with more than 250 tools across identity, cloud, endpoint, SIEM, ticketing and collaboration software. In its first year, it also launched more than 8,000 features, more than 38,000 detectors, and completed 30,000 pull requests. For Singh, the commercial opportunity lies in the mismatch between the speed of attackers and the speed of most security teams. "Attackers now move at AI speed, while security operations still move at human speed. 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," said Singh. Customers cited by Artemis described the platform in similar terms. "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, 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 Jaffe.

Artemis Security grows revenue 100x in its first year, names Arun Singh Chief Growth Officer. Artemis Security October 29, 2026 The AI-native platform for security operations closes its first year with five products shipped, $70 million raised in six months, and recognition as a 2026-27 Fortune Cyber 60 winner NEW YORK, Oct. 29, 2026. Artemis Security, the AI-native platform for security operations, today 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. "From Fortune 500 enterprises to AI-native startups, Artemis has proven that defenders can stop attacks at AI speed. 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." Shachar Hirshberg · Co-founder and CEO, Artemis 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. 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." Arun Singh · Chief Growth Officer, Artemis 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. 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. 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." Tom Daniels · CISO, 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." Jonathan Jaffe · CISO, Lemonade About Artemis Security. Artemis Security is the AI-native platform for security operations, helping security teams detect and stop attacks at machine speed. Trusted by Cursor and Fortune 500 companies, Artemis connects evidence across endpoint, identity, code, cloud and SaaS into a single high-confidence case for every incident, generates detections tuned to each customer's environment, and responds the moment an attack starts. It deploys with no new agents and queries data where it already lives, with no requirement to move it out of existing tools. Artemis is built on AWS and runs in customer-dedicated environments. Learn more at artemissecurity.com. Table of contents