AI-powered cyber risk quantification and exposure management platform
Balbix aggregates data from 150+ security and IT systems to surface cyber risk in business terms—dollars, not technical noise. The tech stack (TensorFlow, PyTorch, Kafka, Spark, Flink, Cassandra, Druid, Elasticsearch) reveals a machine-learning-forward architecture built for petabyte-scale data pipelines and real-time risk modeling. Active projects center on ensemble modeling, graph analysis for prioritization, and lakehouse infrastructure, signaling heavy investment in algorithmic differentiation rather than connectors alone.
Notable leadership hires: Technical Lead
Balbix is a cyber risk quantification platform built for CISOs and vulnerability management leaders at enterprises. The product unifies asset and exposure data across cloud, on-premises, and hybrid infrastructure, then applies AI to prioritize what matters by exploitability, blast radius, and business impact. The company also offers BIX, a GenAI assistant for responding to board and audit questions. Founded in 2015 and based in San Jose, Balbix operates a lean, senior-heavy engineering organization (51–200 employees, 7 engineers, 4 senior + 3 principal roles) and hires in the US and India.
ML frameworks (TensorFlow, PyTorch, scikit-learn), Python/Java/Scala, PostgreSQL/MongoDB/Cassandra, Elasticsearch, Apache Spark/Flink, Kafka, AWS/Azure/GCP, Kubernetes, Terraform.
The platform unifies data from 150+ security and IT systems into a real-time view of cyber assets and exposures across cloud, on-premises, and hybrid environments.
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