Security platform protecting generative, agentic and predictive AI models
HiddenLayer sells a security platform for AI systems, covering model scanning, runtime defense, posture management and automated red teaming. Hiring is accelerating and skews heavily toward sales and director-level hires, signaling a push from founding product into scaled enterprise go-to-market. A multi-cloud, multi-Kubernetes stack (EKS, AKS, OpenShift, k0s, Proxmox) points to deployment flexibility for customers running on-prem or in any major cloud.
Notable leadership hires: Enterprise Account Director, Director of Engineering
HiddenLayer is an Austin, TX-based, privately held company founded in 2022 that builds security products for AI applications. Its AISec Platform addresses threats such as prompt injection, model theft, data poisoning, adversarial manipulation and supply chain compromise. The company serves organizations in both the private and public sectors that need to manage AI risk and compliance. It employs 51–200 people and currently hires in the United States across sales, support, engineering, finance, product and security.
HiddenLayer uses Python, Go, TypeScript and React, runs on AWS, Azure and GCP with Kubernetes, Helm, ArgoCD and Terraform, and works with LangChain, LangGraph, TensorFlow and MITRE ATLAS.
Yes. Sales is HiddenLayer's largest hiring area, with accelerating velocity and senior openings such as Enterprise Account Director, alongside support, engineering and finance roles in the United States.
HiddenLayer is headquartered in Austin, Texas. Founded in 2022, the privately held company has 51–200 employees and hires in the United States.
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HiddenLayer'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.