Security insights platform for CISOs backed by practitioner research network
IANS Research serves CISOs and security teams with peer-driven research, expert guidance, and decision-support tools. The tech stack reveals a platform shifting toward AI: Python, PyTorch, TensorFlow, Hugging Face, and LangChain power an emerging AI agent system, while RAG and OpenAI API integration suggest retrieval-augmented search over their faculty knowledge base. Active projects center on MLOps pipelines, agent frameworks, and AI-driven discoverability—indicating IANS is building toward an AI-native advisory platform rather than remaining purely content-driven.
Founded in 2001, IANS Research provides security decision support and risk articulation tools for Chief Information Security Officers and their teams. The business model combines a curated network of security practitioners (the IANS Faculty) with a software platform delivering Ask-an-Expert services, peer communities, deployment-focused reports, tools, and consulting engagements. The company operates from Boston with 51–200 employees and has historically served mid-market and enterprise security leaders navigating evolving threats and executive reporting demands. Current product development centers on scaling delivery, improving web discoverability, and rolling out AI-powered search and agent systems to broaden platform reach.
Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI API, and RAG for AI systems. Salesforce (Sales Cloud, Service Cloud, Apex, SOQL, Lightning Web Components) for CRM and operations. Fivetran for data pipeline, Jira and Confluence for collaboration, Next.js and React for frontend, Figma for design.
AI agent systems for a DaaS platform, reusable agent frameworks and SDKs, MLOps pipelines for continuous model delivery, AI-powered search and content discoverability, and Salesforce platform enhancements. Active work also includes content ungating and website navigation improvements.
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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.