Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At Zenity, we like to say we don't only exist on the bleeding edge; we are the bleeding edge. It's a defensible claim. Zenity Labs consists of multiple teams focused on various technical disciplines within the security industry, and while the Labs moniker sits loosely over the group, the work it produces tells a unified story around AI Agent security.

When the AI Agent Security Summit launched in San Francisco last October, agent-based threats had already escalated from a novel consideration to a predominant blocker for enterprise adoption. The security community was laser-focused on recognizing and minimizing the blast radius posed by agentic vulnerabilities, whether that meant indirect prompt injection, MCP poisoning, or hallucinations.

The security industry hasn’t been wrong about agentic AI risk. It’s been incomplete. There’s no shortage of single-signal solutions for the problem: tools that analyze prompts for malicious content, platforms that monitor data access patterns, capabilities that assess model behavior for signs of manipulation. Each captures something real. None is sufficient on its own.

Gartner named Zenity the Company to Beat in AI Agent Governance on April 17, 2026. That recognition, grounded in technical capabilities, customer implementations, ecosystem breadth, and business model, isn't a marketing award. To us, it's the analyst community confirming that purpose-built architecture for agentic AI is winning. The recognition didn't come in isolation. Gartner's own language captures the stakes.