Agentic AI is moving fast — and enterprises are deploying it faster than their security teams can track. Zenity, a cybersecurity company focused on securing AI agents and low-code application platforms, has closed a $125 million funding round, according to a Globes report on the raise. The round signals that investors see a genuine and growing gap between how quickly organizations are adopting autonomous AI tooling and how prepared they actually are to defend it.
The timing is hard to miss. As enterprises race to deploy AI copilots, automated workflow agents, and low-code apps built by non-technical employees, the attack surface is expanding in ways that traditional security tools were never designed to handle. Zenity’s pitch is essentially that every business-user-built bot and every AI agent connected to corporate data is a potential entry point — and right now, most of them are unwatched. That concern sits squarely in the middle of a broader debate about identity infrastructure becoming the defining security challenge of the AI era.
What Zenity Actually Does
Zenity was founded to address a specific blind spot: the explosion of applications and automations created outside IT’s purview. Low-code and no-code platforms like Microsoft Power Platform, Salesforce, and ServiceNow have made it trivially easy for non-developers to build tools that touch sensitive data, connect to core business systems, and act autonomously. Zenity scans these environments, surfaces risky configurations, and enforces governance policies — essentially acting as a security layer for an application category that barely existed five years ago.
The company has now extended that mandate to AI agents — software systems that can browse the web, read emails, execute code, and take actions inside enterprise software stacks with minimal human oversight. These agents inherit the same security risks as low-code apps but add new threat vectors: prompt injection, data exfiltration through model outputs, and privilege escalation via misconfigured tool access. Zenity’s platform is built to monitor and control these systems at scale, which is precisely why this funding round carries as much strategic weight as it does financial.
The $125 Million Bet on an Emerging Category
The size of this round — $125 million — puts Zenity firmly in the upper tier of cybersecurity funding events. For a company operating in what is still a nascent product category, that figure reflects investor conviction that agentic AI security isn’t a niche add-on but a foundational requirement for any enterprise running modern AI infrastructure. The venture appetite for this space mirrors the broader trend of capital concentrating around AI-adjacent security plays, similar to the dynamic Index Ventures described when closing its $3.5 billion dual-fund structure with a heavy AI weighting.
The competitive landscape is heating up quickly. Legacy security vendors are scrambling to bolt AI-agent monitoring onto existing platforms, while a wave of startups is attacking the problem from scratch. Zenity’s advantage is that it has been inside this problem longer than most — the low-code security category gave the company years of data and customer relationships before agentic AI arrived to dramatically expand the addressable market. With $125 million now in the bank, the company has the runway to build out its platform, expand its enterprise sales motion, and potentially set the standard for how organizations govern autonomous AI before regulators step in and do it for them.
