Armor1 provides an AI‑driven cloud security platform that continuously discovers, assesses, and remediates configuration issues across AWS, Azure, and GCP. It uses policy‑as‑code and machine‑learning risk scoring to prioritize findings, offering automated remediation, real‑time compliance dashboards, and integration with DevSecOps toolchains for enterprise security and operations teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to maintain continuous visibility and control over their multi-cloud environments, leading to misconfigurations, compliance gaps, and increased risk of cyber‑attacks.
Solution
Armor1 offers an AI‑driven cloud security platform that automatically discovers, assesses, and remediates configuration issues across major public cloud providers. The system continuously monitors cloud resources, applies policy‑as‑code rules, and uses machine‑learning models to prioritize findings based on risk impact. Remediation actions can be executed automatically or through guided workflows, enabling security teams to close gaps faster. Integrated dashboards provide real‑time compliance reporting and audit trails, while APIs allow seamless integration with existing DevSecOps toolchains.
Target Audience
Primary customers are security and operations teams at mid‑size to large enterprises that manage workloads across multiple public cloud platforms.
Features
- Automated discovery and inventory of cloud assets across AWS, Azure, and GCP
- Continuous compliance scanning with customizable policy templates
- Machine‑learning risk scoring to prioritize critical misconfigurations
- One‑click automated remediation and drift correction
- Centralized dashboard with real‑time alerts, trend analytics, and audit logs
- API and CI/CD pipeline integrations for DevSecOps automation