Trust and fraud detection platform for digital interactions at internet scale
HUMAN Security analyzes over a quadrillion digital interactions annually to distinguish legitimate activity from fraud and automated abuse. The stack reflects a mature detection-at-scale operation: Kafka + Redis + BigQuery for streaming signal processing, Kubernetes + ArgoCD for infrastructure orchestration, and Python + Go + Java for core services. Hiring is accelerating across sales, security, and support roles, with senior and director-level positions dominating — a pattern consistent with a company scaling go-to-market and product operations in parallel.
HUMAN Security provides a trust layer for digital customer experiences, helping enterprises, advertising platforms, and commerce networks verify interactions and detect fraud across the full customer journey. Founded in 2012, the company has spent over a decade specializing in bot fraud, advertising fraud, and synthetic traffic mitigation. The platform is powered by behavioral signal analysis at internet scale, serving a customer base spanning large brands, ad platforms, and digital ecosystems. The product spans bot detection and prevention, enterprise security, and application security use cases. Operationally, HUMAN runs in-house detection systems with real-time enforcement capabilities and is actively expanding into adjacent areas like media ecosystem protection and cloud security tool integration.
Python, Go, Java, JavaScript, AWS, GCP, Azure, Kafka, Redis, MongoDB, PostgreSQL, BigQuery, Kubernetes, ArgoCD, Okta, and CrowdStrike for detection, cloud infrastructure, data pipelines, and security operations.
New York, NY. The company also hires in Israel and the United Kingdom, with 201–500 employees total.
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HUMAN'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.