AI-native security platform consolidating identity, endpoints, and email for MSPs
Guardz builds a unified detection-and-response platform purpose-built for MSPs managing SMB cybersecurity. The tech stack reveals a company betting heavily on AI—Llama, Gemini, LangGraph, PydanticAI, and LangChain all in active use—paired with identity-centric architecture (Azure Entra ID, Okta, Google Identity, JumpCloud) and detection tools (XDR, EDR, SOAR, MITRE ATT&CK). Hiring velocity is accelerating with product and security roles driving the product roadmap, while active projects signal a company building out detection capabilities, MDR tooling, and ITDR vision in parallel with internal scaling (onboarding programs, enablement from scratch).
Guardz is a cybersecurity platform designed specifically for Managed Service Providers serving small-to-medium businesses. The product consolidates identity, endpoint, email, and awareness controls into a single AI-augmented framework, using both AI triage (agentic automation) and human-led managed detection and response (MDR) to reduce false positives and detection gaps. The company operates a 24/7 MDR service model, positioning itself as a way for MSPs to deliver scalable protection without expanding headcount. Founded in 2022 and based in Miami, Guardz is privately held with 51–200 employees.
Guardz uses XDR, EDR, SOAR, and MITRE ATT&CK for detection; Azure Entra ID, Okta, Google Identity, and JumpCloud for identity; and AWS, GCP, and Azure for cloud infrastructure. AI models include Llama and Gemini, with LangGraph, PydanticAI, and LangChain for AI orchestration.
Active projects include MDR tool definition and vision, AI-based SOC capability evolution, ITDR tool vision, scaling detection coverage, reducing false positives, and building out internal enablement and onboarding infrastructure. Security research is driving roadmap decisions.
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Guardz'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.