Copperhelm raises $7M to automate cloud security with AI agents
Copperhelm, a Tel Aviv-based cybersecurity startup, emerged from stealth with $7 million in seed funding to deploy AI agents that automate threat detection, investigation and remediation across enterprise cloud environments. TLV Partners led the round, with participation from toDay Ventures, ICON and SaaS Ventures Israel.
The company targets a specific gap: security teams have adopted AI tools far more slowly than engineering departments, leaving them performing manual threat analysis and response work that could be automated.
How the platform works
Copperhelm's system centers on what the company calls a "Context Lake"-a real-time data layer that structures cloud information to give AI agents the context needed to identify and act on security risks.
Specialized agents handle network analysis, system behavior monitoring, adversary simulation and automated remediation. These agents connect directly to live workloads, inspect processes and deploy protections like web application firewall rules without causing downtime.
The platform is built specifically for cloud infrastructure and can operate across hundreds of accounts. General-purpose AI systems struggle with the complexity and fragmentation typical of enterprise cloud environments, the company said.
The team and funding use
Copperhelm was founded by Shimon Tolts, Eyar Zilberman and Roman Labunsky, whose previous roles included positions at Unity, McAfee and RSA. The team includes AWS Heroes, a CNCF Ambassador and a GitHub Star.
The company plans to use the funding to expand product development, grow its engineering team and accelerate sales efforts. Shay Michel, managing partner at Merlin Ventures, is joining the board.
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