echoloc

Guardz Tech Stack

AI-native security platform consolidating identity, endpoints, and email for MSPs

Computer and Network Security Miami , Florida 51–200 employees Founded 2022 Privately Held

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).

Tech Stack 36 technologies

Core StackHubSpot Python AWS TypeScript JavaScript Node.js PostgreSQL Redis RAG LangChain Grafana Intercom Okta Outreach Azure Entra ID Google Identity MITRE ATT&CK IAM SOAR XDR EDR GCP Azure Llama Gemini LangGraph PydanticAI Wiz AWS WAF JumpCloud+6 more

What Guardz Is Building

Challenges

  • Protecting small business clients
  • Detection gaps
  • Optimizing cybersecurity product offerings
  • Defining mdr tools
  • Incident review and remediation lifecycle
  • Reducing false positives
  • Scaling detection coverage
  • Office relocation
  • Building enablement function from scratch
  • Preparing teams for product launches

Active Projects

  • Mdr tool definition
  • Ai-based soc capability evolution
  • Itdr tool vision
  • Guardz detection and security control capabilities
  • Security research-driven roadmap
  • Office relocation project
  • Employee engagement program
  • 30/60/90-day onboarding programs
  • Enablement training playbooks and scripts
  • Structured field feedback loop

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Product
3
Security
3
Sales
2
Engineering
1
HR
1
Research
1

Seniority

Senior
4
Manager
2
Mid
2
Director
1
Junior
1
Lead
1
Company intelligence

Find more companies like Guardz by tech stack, pain points and active projects

Get started free

About Guardz

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.

HeadquartersMiami , Florida
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, Israel

Frequently Asked Questions

What cybersecurity tools does Guardz use in its platform?

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.

What is Guardz working on currently?

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.

Similar Companies in Computer and Network Security

Other companies in the same industry, closest in size

How this profile is built

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.