MIND is a 2023-founded data security platform built on Go, Kubernetes, and GCP, shipping a real-time DLP and insider risk engine with AI-driven classification. The tech stack reveals a distributed systems focus (Temporal, ArgoCD, Prometheus, OpenTelemetry) combined with multi-cloud deployment (AWS, Azure, GCP) and endpoint control (Windows, macOS, vSphere). Active hiring is heavily engineering-skewed (6 of 9 roles), with a senior-majority profile and accelerating velocity — typical of a product-stage security startup scaling the backend and platform layers needed to handle billions of data events at scale.
MIND protects organizations against data loss and insider threats by automating discovery, risk assessment, and remediation across SaaS applications, Gen AI tools, endpoints, on-premises file shares, and email. The platform uses a multi-layer classification engine to analyze data events in real-time and block leaks autonomously. Founded by cybersecurity veterans based in Seattle, the company currently operates with 51–200 employees and is actively hiring engineering, product, and design talent, including roles in Israel.
Go, Kubernetes, GCP, Temporal, Python, TypeScript, React, AWS, Azure, and Prometheus. Infrastructure tooling includes Terraform, Ansible, ArgoCD, and GitHub Actions. The stack reflects distributed systems engineering and multi-cloud deployment.
Core projects include a distributed systems backend for the data protection engine, endpoint DLP agents, real-time data protection for Gen AI and MCP integrations, design system maturation, and scalable testing infrastructure. Pain points show focus on automating DLP, protecting data in the AI era, and reducing adoption friction.
Other companies in the same industry, closest in size