AirMDR has raised $16.0M in total across 2 funding rounds.
AirMDR's investors include Foundation Capital, Race Capital.
AirMDR is an AI-native managed detection and response (MDR) startup that builds an autonomous platform combining AI virtual analysts with human oversight to deliver enterprise-grade cybersecurity to small and medium-sized businesses (SMBs).[1][2][3] It serves SMBs facing ransomware, phishing, insider threats, and other disruptions by automating 80-90% of SOC tasks like alert triage, investigations, and playbook execution at 20x human speed, while reducing costs by over 50% compared to traditional MDR.[1][2][3][6] The platform provides 24/7 monitoring across endpoints, cloud, identity, network, and phishing with over 240 integrations, transparent metrics on MTTI/MTTR, and human experts as a final verification layer, enabling rapid threat detection (within 1 minute), triage (under 10 minutes), and response (within 60 minutes).[2][3][6] Recently, AirMDR raised $15.5 million in funding, building on earlier $5 million from Foundation Capital and Storm Ventures, signaling strong growth momentum in AI-driven security.[1][4]
AirMDR was founded by CEO Kumar Saurabh, who drew from his experience launching an MDR service and working with large SOCs at mature companies and MSPs.[4][5] Observing that security teams were overburdened and that 80-90% of analyst tasks could be automated, Saurabh co-founded the company to flip the model: AI virtual analysts handle primary triage and response, with humans as trainers, supervisors, and a second/third line of defense.[1][4][5] The idea emerged from AI advancements enabling natural language processing for security use cases, addressing SMBs' talent shortages and budget constraints that leave them vulnerable to threats like ransomware, which can cause business closures.[1][5] Early traction included a $5 million seed round nearly a year before mid-2024 from Foundation Capital and Storm Ventures, followed by product demos showcasing AI efficiency and an honorable mention in Black Hat's Startup Spotlight.[1][4]
AirMDR rides the generative AI wave transforming cybersecurity, where automation offsets analyst shortages and rising threats like ransomware amid SMBs' limited budgets—enabling the "1% of large enterprises" efficacy for the majority.[1][5][6] Timing is ideal as AI chatbots and agentic models reduce repetitive tasks (e.g., data correlation, querying), lowering costs and boosting efficiency, per analysts like Omdia's Jonathan Ong.[1] Market forces favoring it include exploding cyber threats, AI maturity for natural language security tasks, and demand for affordable MDR, positioning AirMDR to disrupt human-heavy providers by making SOC-in-a-week setups viable.[1][2][4] It influences the ecosystem by proving AI-human hybrids scale security operations, inspiring productivity gains, compliance, and faster breach responses across industries.[3][6]
AirMDR is poised to dominate AI-MDR with its $15.5M funding fueling platform expansions like more integrations and playbook automation, targeting even faster latencies and broader enterprise adoption.[1][6] Trends like agentic AI evolution, zero-trust mandates, and SMB digital acceleration will amplify its edge, potentially capturing share from legacy MDRs as costs drop further and threats sophisticate. Its influence may evolve into an industry standard for autonomous SOCs, empowering SMBs to thrive securely and redefining cybersecurity from labor-intensive to AI-centric—delivering the high-level protection that sparked its origin in tackling overlooked security burdens.[1][2][5]
AirMDR has raised $16.0M across 2 funding rounds. Most recently, it raised $11.0M Seed in July 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jul 1, 2025 | $11.0M Seed | Foundation Capital, Race Capital | |
| Jun 1, 2024 | $5.0M Seed | Foundation Capital, Race Capital |
