AI-driven cyber risk quantification and exposure management platform
Balbix builds an exposure management platform that pulls security and IT data into a unified risk view and expresses cyber risk in dollar terms. Its stack, with Spark, Flink, Kafka, Trino and Druid alongside TensorFlow and PyTorch, points to a streaming, petabyte-scale data platform with ML at its core. Hiring skews toward senior and principal engineers in the US and India, focused on ingestion pipelines, risk modeling and a lakehouse build.
Notable leadership hires: Technical Lead
Balbix is a privately held cybersecurity company founded in 2015 and headquartered in San Jose, CA, with 51–200 employees. Its platform aggregates data from a wide range of security and IT tools to inventory assets across cloud, on-prem and hybrid environments. It ranks exposures by exploitability and business impact and translates cyber risk into financial terms. The product serves CISOs and vulnerability management leaders at enterprises, and includes a generative AI assistant called BIX for answering executive and audit questions. The company runs on AWS, Azure and GCP and hires in the United States and India.
Balbix uses Python, Java and Scala with TensorFlow, PyTorch and scikit-learn, data tools like Spark, Flink, Kafka, Trino, Druid and PostgreSQL, and runs on AWS, Azure and GCP with Kubernetes and Terraform.
Yes. Engineering dominates Balbix's open roles, mostly at senior, principal and staff levels, with smaller openings in data, product and support. Overall hiring velocity is currently minimal.
Balbix is headquartered in San Jose, California, and hires in the United States and India.
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Balbix'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.