AI-driven SOC platform for alert triage, investigation and response
Radiant Security builds an AI SOC platform that triages security alerts across vendors and automates response. Its stack runs multiple LLM providers (OpenAI, Anthropic, Gemini) with RAG on Go, Python, Kafka and Kinesis across AWS, GCP and Azure, pointing to a multi-cloud, model-agnostic design. Accelerating, senior-weighted engineering hiring and repeated pain points around ingestion reliability show data pipeline scale is the current bottleneck.
Radiant Security, founded in 2021 and headquartered in Pleasanton, California, develops an AI-powered security operations platform for enterprise security teams. The product ingests alerts from any security tool or data source, triages them, supports investigation and automates remediation. It also offers log management that runs on customers' existing storage. The privately held company has 51–200 employees and hires in the United States and Brazil.
Radiant Security uses TypeScript, React, Next.js, Python, Go and Node.js, with Kafka and Kinesis for streaming, Terraform and Pulumi for infrastructure, and AWS, GCP and Azure. AI tooling includes OpenAI, Anthropic, Gemini and RAG.
Yes. Hiring is accelerating and led by engineering, mostly at senior and staff levels, with additional roles in design, product, sales, security and support across the United States and Brazil.
Current work includes an ingestion platform, data lake architecture, a case management and alert triage product, investigation and response workflows, and an AI triage platform, plus technical implementation for new customers.
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Radiant Security'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.