24/7 managed detection and response for MSPs and SMBs
Blackpoint Cyber runs a managed detection and response service delivered through MSP partners, backed by a stack of Go, Python, Kafka, Spark and Elasticsearch for telemetry processing on AWS and Azure. Tines and n8n in the stack, plus projects around SOC process design and support automation, point to a push to scale analyst output without scaling headcount. Hiring is accelerating and engineering-led, with notable investment in support.
Blackpoint Cyber is a privately held cybersecurity company founded in 2014 by former U.S. defense and intelligence security practitioners. It provides around-the-clock managed detection, response and remediation, combining proprietary technology with a security operations center. Its go-to-market centers on managed service providers, who use the service to protect their small and mid-sized business clients. The company operates remotely with 51–200 employees and hires in the United States and Australia.
Blackpoint Cyber uses Go, Python, TypeScript and Node.js, with Kafka, Apache Spark and Elasticsearch for data, Kubernetes and Docker on AWS and Azure, Grafana and Loki for observability, and Tines and n8n for automation.
Yes. Engineering is the largest hiring area, followed by support, with additional roles in marketing, product, sales, security and data. Hiring skews senior and is accelerating, in the United States and Australia.
Current initiatives include data pipelines for AI/ML workflows, threat research test labs, SOC operational process design, sandbox evaluation for IOC extraction, and support operations automation.
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Blackpoint Cyber'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.