AI-driven threat intelligence, deception and attack surface platform
CatchProbe runs a SaaS cyber intelligence platform covering OSINT, dark web monitoring, leak detection, deception and external attack surface mapping. Its stack is data-infrastructure heavy: Hadoop, HBase, Kafka, Kinesis, Elasticsearch, Solr and MongoDB point to large-scale ingest and search of threat data. Job posts flag MongoDB performance bottlenecks and a new Hadoop cluster, while hiring is minimal and skews senior across engineering, research and sales.
CatchProbe Intelligence Technologies, founded in 2018 and headquartered in San Francisco, builds a centralized intelligence platform for security teams. The platform gathers data from open sources, private feeds and internal datasets, then enriches and correlates it with AI to support threat detection, attribution and response. Modules cover deception environments, dark and deep web monitoring, leaked data detection and external attack surface visualization. The company is privately held with 51–200 employees and serves organizations across multiple industries.
CatchProbe uses Python, Node.js and TypeScript with React, Vue and Angular on the front end, plus MongoDB, PostgreSQL, Elasticsearch, Hadoop, HBase, Kafka and Kinesis for data, and Terraform, Ansible and Docker for infrastructure.
CatchProbe offers an AI-driven SaaS cyber intelligence platform spanning OSINT, dark web monitoring, leak detection, deception systems and external attack surface management.
Hiring is currently minimal and focused on senior roles in engineering, research and sales, with openings based in the United States.
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CatchProbe Intelligence Technologies'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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