Identity lifecycle visibility and attack-surface management for enterprises
Linx Security built a modern identity governance platform on a polyglot stack (Python/FastAPI backend, React/Next.js frontend, ArangoDB graph database) that pulls together identity data across IAM tools like Okta and ForgeRock. The company is actively developing AI-driven identity agents for automated risk remediation and building a graph-based identity fabric—suggesting a strategic shift toward intelligent, topology-aware access control. Hiring velocity is accelerating across engineering and sales with a leadership-heavy senior cohort, indicating aggressive enterprise GTM paired with product complexity.
Notable leadership hires: Chief of Staff
Linx Security provides identity lifecycle management and governance software designed for identity, security, and IT operations teams at mid-to-large enterprises. The platform integrates with existing IAM stacks (Okta, ForgeRock, SAML, OAuth, SCIM) to aggregate identity data and surface access relationships and compliance gaps. Founded in 2023 and headquartered in New York, the company operates with 51–200 employees and is actively hiring across engineering, sales, and customer success. Current focus includes scaling technical customer success, building repeatable sales engineering playbooks, and shipping AI-driven remediation workflows.
Backend: Python, FastAPI, Pydantic. Data layer: ArangoDB, MongoDB, Kafka. Frontend: React, TypeScript, Next.js. Infrastructure: Docker, Kubernetes on AWS, GCP, Azure. Integrations: Okta, ForgeRock, Salesforce, SAML, OAuth, SCIM.
AI-powered identity agents for risk remediation, a graph-based identity fabric, repeatable sales engineering playbooks, field-driven roadmap synthesis, and strategic partnership initiatives to scale enterprise deal execution.
Other companies in the same industry, closest in size
Linx Security'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.