Google Cloud–native MDR and SecOps automation platform
Foresite runs a multi-tenant SaaS platform for managed detection and response (MDR) and security operations, built on React, TypeScript, and Google Cloud infrastructure. The tech mix—GCP, Security Command Center, Chronicle, XDR, and active work on LLM-based threat intelligence and agentic automation—reveals a shift toward AI-driven security workflows. Hiring velocity is accelerating across engineering, sales, and security (10 roles posted in the last 30 days), while internal friction around multi-tenant data isolation and AI cost optimization suggests the platform is at an inflection point between product-market fit and scale.
Foresite Cybersecurity, founded in 2013 and headquartered in Overland Park, KS, delivers managed detection and response, managed security services, and compliance consulting to mid-market and enterprise customers. The company is a Google Cloud Security Partner of the Year. The platform integrates risk management, incident response, and security monitoring through a SaaS architecture. Current priorities include SecOps modernization advisory, new customer acquisition, and account expansion—alongside technical work on API scalability, multi-tenant isolation, and production-grade LLM integration for threat triage and investigation.
Frontend: React, TypeScript, React Router. Backend/data: PostgreSQL, Firestore. Cloud: GCP, AWS, Azure. Security tooling: Google Cloud Security Command Center, Mandiant, Wiz, Chronicle, XDR. BI: Tableau, Power BI, Looker. CRM: HubSpot, Salesforce.
Google Cloud–native MDR sales, multi-tenant SaaS architecture, RESTful API development, LLM-based threat intelligence pipelines, agentic automation for triage and investigation, and SecOps modernization advisory services.
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Foresite Cybersecurity'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.