Predictive cybersecurity platform with identity threat monitoring
HEROIC runs a data-heavy cybersecurity operation built on Elasticsearch, Kafka, and multi-database infrastructure (Cassandra, MongoDB, PostgreSQL) to power real-time threat detection at petabyte scale. The stack shape—heavy streaming, search, and distributed systems—reflects their core challenge: ingesting and indexing security signals fast enough to predict breaches before they happen. Hiring is lean and seniority-skewed (senior + manager roles dominating), with sales and data teams anchoring a go-to-market push around a "darkwatch" revenue driver and SDR workflow refinement.
HEROIC is a SaaS cybersecurity platform founded in 2015 and based in Lehi, Utah, focused on proactive threat detection for multi-device consumers and cloud services. The product combines predictive monitoring, data breach alerting, identity theft protection, and secure backup within a multi-layer architecture. Operationally, the company is small (11–50 employees) but infrastructure-intensive: they operate petabyte-scale Elasticsearch clusters, manage cybersecurity data pipelines, and run distributed scanning and intelligence collection systems. Sales cycles are longer than typical SaaS, driving internal focus on SDR workflow and go-to-market motion refinement.
Elasticsearch, Kafka, Python, Cassandra, MongoDB, PostgreSQL, Java, Docker, Kubernetes, AWS, GCP, and Active Directory. The stack emphasizes real-time search and streaming data processing for large-scale threat detection.
Lehi, Utah. The company was founded in 2015 and is privately held with 11–50 employees.
Petabyte-scale Elasticsearch clusters, cybersecurity data ingestion pipelines, automated intelligence collection, distributed scanning systems, and go-to-market expansion via a platform called darkwatch, plus SDR workflow optimization.
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