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Zenity Lands $125M to Secure AI Agents

Zenity raised $125M Series C led by Norwest to secure autonomous AI agents in enterprise workflows, addressing new cybersecurity risks.

Ben Kliger and Michael De Santis, Co-founders of Zenity

The big picture: AI agents are moving from answering questions to taking actions inside companies, and investors are betting that securing those agents could become a major new cybersecurity market. Zenity, an AI security startup focused on autonomous agents, has raised $125 million in Series C funding led by Norwest, as businesses put AI agents deeper into workflows that touch corporate data, software, cloud infrastructure and internal systems.

Why it matters:

  • New attack surface: Traditional cybersecurity tools are not equipped to secure autonomous AI agents that interact with critical corporate data and systems.
  • Escalating risks: As agents gain more autonomy, a compromised agent can become an entry point into sensitive applications, databases, and code repositories.
  • Market opportunity: The shift to agentic AI creates a new, dedicated security layer market, with Zenity positioning itself as an early leader.

How it works:

  • Intent-aware security: Zenity’s platform identifies an agent’s intent, allowing, modifying, or blocking actions before execution, rather than relying on post-incident analysis.
  • Broad compatibility: The platform secures agents built on major enterprise AI platforms and frameworks, including Microsoft Copilot, ChatGPT Enterprise, Gemini, and custom systems.
  • Proactive defense: Zenity Labs conducts research into zero-click attacks like AgentFlayer, demonstrating vulnerabilities in widely used AI products to inform platform development.

The catch: The AI agent security market is nascent but rapidly attracting new entrants, potentially leading to a crowded field. Enterprises may also initially struggle with the operational overhead of integrating a dedicated agent security layer, preferring to extend existing cybersecurity solutions. Furthermore, the rapid evolution of agentic AI capabilities means security platforms must continuously adapt to new threats and agent behaviors.

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