Token Security has launched Enzo, an AI-native application builder that the company says lets enterprise security teams create identity security applications, workflows, dashboards, and automations using natural-language prompts and live identity context.
Token Security launched Enzo, an AI-native application builder designed to help enterprise security teams create identity security applications with natural-language instructions.
In a company announcement, Token Security described Enzo as a tool for building applications that use live identity context across cloud, SaaS, DevOps, and AI agent environments. The company said the product is intended to help security teams turn identity data into applications, workflows, dashboards, and automations without relying solely on traditional software development processes.
A related Token Security product blog frames Enzo as an “AI-native identity security application builder” for creating live security applications through natural language. According to Token Security, users can describe what they want to investigate or automate, and Enzo can generate security applications that draw on the company’s identity data model.
The GlobeNewswire release says Enzo is built on top of the Token Security platform and is available to Token Security customers. The release also connects the product to Token Security’s work in non-human AI agent identity security, an area that has become more prominent as organizations deploy automated systems, service accounts, bots, and AI agents with access to internal tools and data.
Token Security’s announcement positions Enzo as a way to operationalize identity security by combining live identity context with application-building capabilities. The company says this context spans multiple enterprise environments, including cloud infrastructure, SaaS applications, DevOps systems, and AI agent environments. The stated goal is to let security teams create tailored tools for investigation, monitoring, and automation around identity risk.
Identity security teams often need to understand how users, service accounts, applications, and automated agents interact across fragmented enterprise systems. Token Security’s materials suggest Enzo is aimed at reducing the time between identifying a security question and creating a usable internal tool to answer it.
For example, the company says security teams can use natural language to build live applications and workflows rather than manually stitching together data exports, dashboards, and scripts. The sources do not provide independent performance benchmarks or customer case studies, so claims about Enzo’s effectiveness should be read as company statements rather than externally verified results.
According to GlobeNewswire, Enzo is available to Token Security customers. Token Security’s own announcement and blog provide the main product details currently available, including the emphasis on natural-language application creation, live identity context, and coverage across cloud, SaaS, DevOps, and AI agent environments.
Token Security launched Enzo, an AI native application builder designed to help enterprise security teams create identity security applications with natural language instructions.
What Token Security announced In a company announcement, Token Security described Enzo as a tool for building applications that use live identity context across cloud, SaaS, DevOps, and AI agent environments.
The company said the product is intended to help security teams turn identity data into applications, workflows, dashboards, and automations without relying solely on traditional software development processes.
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