Post-perimeter phishing defense powered by AI and threat intelligence
Cofense stops phishing emails that bypass traditional gateways. The stack reveals a modern data-heavy operation: AWS and Azure infrastructure, Kafka/Kinesis for streaming, Spark for processing, and dual warehousing (Redshift + Synapse), all piped into Power BI and Tableau. Current hiring is sales-dominant (7 of 11 roles), with parallel data pipeline projects (Azure/AWS ingestion, data lake integration, BI tool wiring) — indicating scaling of customer onboarding and analytics infrastructure to support rapid go-to-market.
Cofense is a post-perimeter phishing defense vendor founded in 2011, headquartered in Ashburn, Virginia. The platform combines AI-driven threat detection with expert validation to identify phishing attacks that escape standard email gateways, then automates quarantine and remediation. The company operates a global threat intelligence feed, analyzing known and novel attacks across customer organizations. Sales and implementation teams drive customer acquisition and onboarding across North America and EMEA, while data and engineering teams maintain streaming pipelines, detection models, and integration layers for customer SaaS environments.
Cofense runs on AWS and Azure infrastructure with Kafka and Kinesis for event streaming, Apache Spark for data processing, and dual warehouse architecture (AWS Redshift and Azure Synapse). Data feeds into Power BI and Tableau for analytics. Salesforce and Outreach power sales operations.
Active projects include data pipeline development on Azure/AWS, customer phishing simulation programs, product onboarding and implementation, DACH regional expansion, and BI tool integrations to surface detection and remediation metrics to security teams.
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COFENSE'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.