Real-time bot, fraud and AI agent traffic protection platform
DataDome sells real-time bot and fraud protection for websites, apps and APIs, built on a streaming analytics core of Kafka, Apache Flink and Apache Druid alongside edge runtimes like Cloudflare Workers and AWS Lambda@Edge. A multi-cloud footprint across AWS, GCP and Scaleway, plus security-led senior hiring, points to an engineering organization focused on scaling detection and applying generative AI to threat analysis.
DataDome, founded in 2015 and headquartered in New York, builds software that classifies and controls digital traffic from humans, bots and AI agents. Its specialties span bot detection, ad fraud, web scraping and online fraud protection. The company has 51–200 employees and recruits across the United States, France, Canada and Costa Rica. Go-to-market runs through Salesforce and HubSpot, with sales, marketing, support and product functions alongside security and engineering teams.
DataDome uses Python, Go, Java, Scala, Node.js and TypeScript, with Kafka, Apache Flink, Apache Druid and Elasticsearch for data, Cloudflare Workers and AWS Lambda@Edge at the edge, and Terraform, Docker and Ansible for infrastructure.
DataDome is headquartered in New York, NY, and hires across the United States, France, Canada and Costa Rica.
Current work includes generative AI for detection, new alerts on its detection platform, outlier detection in global traffic, JavaScript tag development, AI security enablement and cloud initiatives on AWS and GCP.
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DataDome'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 →
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