AI-powered SOC platform for alert triage and automated incident response
Radiant Security operates an AI SOC platform that ingests alerts from any security tool and uses machine learning to triage and automate response. The tech stack—React, Next.js, TypeScript frontend with RAG as the core adoption—reveals an LLM-first architecture centered on retrieval-augmented generation for alert contextualization. Active projects around agentic flows, LLM fine-tuning, and response automation, combined with pain points around cost-effective LLM deployment and scalable automation, show a company actively optimizing inference costs and expanding beyond predefined security playbooks into environment-agnostic automation.
Radiant Security builds an adaptive SOC platform that consolidates alerts from any security vendor or data source into a single triage and response workflow. The platform uses AI to classify alerts, flag real threats, and trigger automated remediation, with the goal of reducing mean time to detection and response from days to minutes. The company also offers managed log storage that integrates with existing customer infrastructure, eliminating vendor lock-in. Founded in 2021 and based in Pleasanton, California, Radiant operates with a lean team split across engineering, sales, security, and support, with hiring accelerating across both U.S. and Brazil locations.
Frontend: React, Next.js, TypeScript, Tailwind CSS, Figma for design. Testing: Jest, Cypress, Playwright. Core: RAG (retrieval-augmented generation) for alert contextualization and AI-driven triage.
Current projects include AI-driven alert triage, incident investigation automation, agentic workflow design, LLM fine-tuning for cost efficiency, response automation, and scaling the underlying data platform to handle higher alert volumes.
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