Agentic Cloud Security Platform for Autonomous Threat Investigation and Remediation

Copperhelm positions itself as an agentic cloud security platform built around autonomous AI agents that detect, investigate, and respond to threats across cloud infrastructure. Rather than simply surfacing alerts for human review, its agents connect to running machines, inspect live processes, map network topology, and identify attack paths the way a human analyst would. The goal is to compress investigation and remediation from manual, multi-step workflows into actions that happen at machine speed.

Central to the platform is a proprietary component the company calls the Context Lake, which gives its AI agents an architectural understanding of a customer's cloud environment. The agents reason across VPCs, security groups, and web application firewalls to assess vulnerabilities, validate whether risks are genuinely exploitable, and then carry out fixes such as deploying WAF rules. The company frames this as adding the equivalent capacity of a team of senior security engineers without expanding headcount.

The platform is aimed at enterprise organizations and regulated sectors such as financial services and SaaS providers that need continuous, automated security investigation rather than reactive manual triage. Copperhelm was founded by Shimon Tolts, Roman Labunsky, and Eyar Zilberman, described as cloud and security veterans with backgrounds at Unity, McAfee, and RSA. The company is a member of Anthropic's Cyber Verification Program, reflecting its focus on AI-driven, agent-based defense.