Practitioner-sourced cybersecurity research and intelligence for security teams
IANS packages cybersecurity practitioner knowledge into research and decision support for security teams, and its stack shows a pivot to AI delivery: LangChain, LangGraph, LlamaIndex, RAG, MCP and eval tooling like LangSmith, Langfuse and Arize. Job posts point to a commercial shift from per-seat subscriptions toward data-as-a-service, with sales-weighted, accelerating hiring to support a new go-to-market motion.
IANS is a Boston-based research and advisory firm founded in 2001 that serves corporate security teams. It draws on a network of active cybersecurity practitioners, peer conversations, and proprietary benchmarking data to support security decision-making. The company is making this intelligence available through AI tools its clients already use. IANS is privately held, employs 201–500 people, and hires in the United States.
IANS uses Salesforce, Python, Go, TypeScript, React, Next.js, C#, SQL Server, Sitefinity and Elasticsearch on AWS and Azure, plus AI tooling such as LangChain, LangGraph, LlamaIndex, OpenAI API, PyTorch and Hugging Face.
Yes. Sales is the largest area of current hiring at IANS, alongside roles in engineering, product, security, support and operations, all based in the United States, with hiring velocity accelerating.
IANS is building an agent capabilities platform, RAG integration, AI evaluation suites and AI-generated call summaries, while redesigning its go-to-market organization around a new commercial model.
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IANS'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.