Zenity Raises $125M to Scale AI Agent Security

Zenity, a Tel Aviv-based AI security and governance company founded in 2021, raised $125 million in a Series C round led by Norwest. The financing brings the company’s total capital raised to $180 million and will support product development, expansion of its security research arm and growth outside its core markets.

Investors in the round included Qumra Capital, SoftBank Vision Fund 2, Hitachi Ventures, LG Technology Ventures and existing backers Vertex Ventures, Third Point Ventures, DTCP and Intel Capital. Zenity employs more than 230 people, with a research and development center in Tel Aviv and go-to-market and operations teams based in New York.

Zenity’s platform is built to secure agentic AI systems by analyzing agents’ intent and deterministically allowing, modifying or blocking their actions. The company says the software can distinguish legitimate tasks from manipulated, compromised or rogue agent behavior to prevent unauthorized operations.

The platform supports a range of agent frameworks and models, including Microsoft Copilot, ChatGPT Enterprise, Google Gemini, Anthropic’s Claude Codex and Cursor, and custom deployments on services such as Bedrock, AgentCore, Foundry and Vertex AI.

Zenity Labs, the company’s research unit, searches for vulnerabilities in agentic AI platforms. The lab studies attack scenarios including zero-click exploits that could hijack enterprise AI agents for data exfiltration or system compromise without user interaction. Zenity says findings from the lab feed into product hardening and enterprise protections.

Norwest partner Assaf Harel described Zenity as having an early advantage in AI agent security and noted a growing footprint among large enterprises. Harel said the company is well placed to become a category leader.

Zenity plans to use the new funding to accelerate engineering on its core product, expand Zenity Labs’ capabilities and increase its international presence. The company points to growing enterprise use of autonomous and semi-autonomous AI agents in business workflows as a source of demand for agent-focused security tools.