Employee cybersecurity awareness and phishing simulation platform
Riot builds a cybersecurity awareness platform targeting the human attack surface — the explicit gap between employee behavior and organizational risk. The tech stack reveals a modern SaaS playbook: Vue + TypeScript + NestJS on the frontend, Node.js + PostgreSQL + Prisma on the backend, with Temporal for workflow orchestration and dbt + Looker for product analytics. Sales hiring dominates the active roles (6 of 10), and projects center on platform expansion (alpha-to-GA launch), go-to-market scaling (UK launch, Italy sales hiring), and phishing simulation features — indicating a product-market fit transition into aggressive geographic and segment expansion.
Notable leadership hires: Head
Riot provides an employee cybersecurity awareness platform designed to reduce organizational risk by training staff to recognize and resist cyberattacks, particularly phishing. Founded in 2020 and based in San Francisco, the company operates across the United States and France. The platform combines awareness training with phishing simulation to measure and improve employee security behavior. Active project work spans platform maturation (moving from alpha to general availability), geographic expansion (UK and Italy), and sales infrastructure (pipeline optimization and outreach sequence automation). The company is 51–200 employees and actively hiring across sales, engineering, product, HR, and support roles.
Frontend: Vue, TypeScript, Tailwind CSS, Apollo GraphQL, Cypress. Backend: Node.js, NestJS, Prisma, PostgreSQL, Temporal, Elixir. Infrastructure: AWS, Terraform. Analytics: Looker, dbt. Monitoring: Datadog, Sentry. Sales tools: HubSpot, LinkedIn Sales Navigator, Lemlist.
Platform maturation (alpha-to-GA launch), phishing simulation features, geographic expansion (UK go-to-market, Italy sales scaling), sales pipeline optimization, and internal talent planning and succession planning.
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Riot'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.