AI-powered cloud platform for security operations centers
HiveWatch operates a cloud-based GSOC (Global Security Operations Center) management platform built on AWS, GCP, and Azure with Kubernetes orchestration and PostgreSQL backends. The company is actively shipping an AI operator product suite and emerging AI-driven portfolio while simultaneously scaling a sales organization—a dual focus reflected in their 3:1 sales-to-engineering hiring ratio. Stack depth (Terraform, Terragrunt, Helm, AWS EKS, Kinesis) and edge infrastructure projects signal maturity in multi-cloud deployments at enterprise scale.
HiveWatch builds cloud-based security operations platform software for physical security teams. The platform automates routine GSOC tasks—alarm triage, false-positive suppression, response orchestration—using AI to free operators for higher-level threat response. Founded in 2020, the company operates from El Segundo, CA and serves enterprise-scale physical security deployments. Current product work spans AI operator capabilities, enterprise integrations across fragmented security systems, and edge compute infrastructure. Sales motion and pipeline development are active expansion priorities.
HiveWatch runs on AWS, GCP, Azure with Kubernetes (EKS), PostgreSQL, Docker, and Terraform/Terragrunt for IaC. Backend languages include Kotlin, Rust, TypeScript, Python. Operational services use AWS Kinesis, RDS, and serverless compute.
HiveWatch is building an AI operator product suite and emerging AI portfolio for GSOC automation. Parallel initiatives include enterprise-scale physical security system deployment, multi-system integration design, edge infrastructure hardening, CI/CD pipeline work, and new sales motion development.
HiveWatch's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.