XBOW operates an offensive security platform augmented with AI reasoning, launched in 2024 and now scaling rapidly across six continents. The stack reveals a modern SaaS foundation (TypeScript, React, PostgreSQL, Kubernetes) layered with heavy data and ML infrastructure (Spark, Hadoop, Databricks, Airflow, Julia) — engineering maturity required to operationalize autonomous security workflows. Active hiring accelerates across support and engineering, while project velocity centers on self-service adoption and automation of customer touchpoints, suggesting XBOW is moving from managed services to a product-led model.
XBOW is an autonomous offensive security company based in Seattle, founded in 2024. The platform combines AI reasoning with offensive security workflows to deliver security testing at machine speed, enabling teams to shift from reactive incident response to proactive threat hunting. The company operates across 51–200 employees with deep technical roots in cloud infrastructure (AWS, Azure, GCP, OCI), observability (Datadog, New Relic, Grafana), and data orchestration (Databricks, Airflow). Current focus spans customer support scaling, automation of security workflows, and expanding self-service capability to address high-volume demand.
XBOW runs TypeScript, React, PostgreSQL, Kubernetes, and CI/CD on AWS, Azure, GCP, and OCI. Data and ML operations use Spark, Hadoop, Databricks, Airflow, and Julia. Observability relies on Datadog, New Relic, and Grafana.
XBOW hires across United States, South Korea, France, Argentina, Australia, and Singapore.
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XBOW'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.