Zenity Raises $125 Million as Enterprises Confront the Security Risks of Autonomous AI Agents

Funding Zenity Raises $125 Million as Enterprises Confront the Security Risks of Autonomous AI Agents Published August 3, 2026 By Antoine Tardif, CEO & Founder of Unite.AI Add Unite.AI to your preferred sources on Google Zenity Team. Photo by Yael Becker. Zenity has raised $125 million in Series C funding as businesses move artificial intelligence agents from controlled experiments into systems capable of accessing data, invoking software tools and completing operational tasks.Norwest led the round, with Qumra Capital, SoftBank Vision Fund 2, Hitachi Ventures and LG Technology Ventures joining as new investors. Existing backers Vertex Ventures, Third Point Ventures, DTCP and Intel Capital also participated. The company did not disclose its valuation.The financing follows Zenity’s $38 million Series B in October 2024 and brings the company’s disclosed funding to at least $180 million.From AI Experiments to Autonomous SystemsThe size of the round reflects a broader change in how enterprises are adopting AI. The initial wave of generative AI primarily involved employees interacting with chatbots to produce text, summarize documents or retrieve information.AI agents introduce a different level of risk because they can take action. Depending on their permissions, agents may access internal databases, call application programming interfaces, update records, execute code, send messages or initiate workflows spanning multiple enterprise systems.This shifts the security problem beyond whether a model produces an inappropriate response. Organizations must also understand which agents have been deployed, who controls them, what information they can reach and what actions they are authorized to perform.An agent can behave exactly as designed while still creating a security incident if it has excessive permissions, encounters manipulated information or interprets an attacker’s instructions as part of a legitimate task.Zenity describes this as an “agent-layer” problem. Its platform is designed to examine an agent’s configuration, permissions, connected tools, memory and runtime actions rather than looking only at the prompts entering a model or the responses it generates.How Zenity Secures AI AgentsZenity divides its platform into three principal areas: observability, security posture management, and detection and response.The observability component discovers and inventories agents operating across an organization. This includes agents embedded in software-as-a-service platforms, internally developed agents running in cloud environments and local tools installed on employee devices.The objective is to give security teams a continuously updated picture of each agent’s owner, configuration, permissions, integrations and runtime behavior. This is becoming increasingly important as individual departments and employees gain the ability to create agents without going through a conventional software development or security review process.Zenity’s governance layer evaluates configurations and permissions before an agent enters production. Policies can be used to identify excessive access, unsecured integrations or tools that could allow an agent to operate beyond its intended role. The platform can continue checking