Airia vs. Zenity

Zenity is an AI agent security platform built to help security teams discover agents across SaaS, cloud, and endpoint environments — understanding who built them, what they access, and how they behave at runtime. Their focus is on enforcing security policies to prevent data leakage, prompt injection, and unauthorized agent actions.

That focus is intentional and narrow. Zenity’s depth is concentrated at the agent layer, particularly for Microsoft Copilot Studio and low-code/no-code–built agents. For organizations where agentic AI is the primary security concern, that specialization is useful.

Where Zenity falls short is scope. It wasn’t built to govern your entire AI ecosystem — it doesn’t orchestrate multi-model workflows, optimize AI cost and performance, discover and govern employee AI tool usage, or provide the enterprise-wide control plane that CIOs and CISOs need to manage every AI tool running across every team.

Airia is the enterprise AI control plane — a unified platform that discovers, secures, governs, and orchestrates every AI tool running across your organization, from the models your teams access to the agents running in production.

Think of Zenity as a specialized lens on the agent security layer. Airia is the full-spectrum control plane that governs agents as one part of a complete AI security, governance, and orchestration architecture. Where Zenity focuses on how agents are built and what they do, Airia governs the entire environment in which they operate — including the models they call, the data they access, the humans interacting with them, and the compliance obligations spanning all of it.

Agent security matters enormously. But agentic AI doesn’t exist in isolation — it operates within a broader enterprise AI ecosystem that includes employee-facing models, internal tools, third-party AI services, and custom workflows that span multiple providers and platforms. Securing agents without governing the environment around them leaves the picture incomplete.

• No employee AI governance: No visibility into what models individual employees are using, what data they’re sharing, or whether that usage aligns with policy
• No multi-model orchestration: No way to coordinate AI tools and agents intelligently, route requests based on cost and risk, or optimize performance across your full AI stack
• No cross-platform compliance: No unified audit trail spanning both agent activity and broader AI usage — making comprehensive compliance reporting difficult to produce
• No AI cost optimization: No mechanism for understanding and optimizing what your enterprise is spending across every AI provider and model

Scenario 1: Your security team has visibility into every AI agent in production. Meanwhile, employees across five departments are accessing Claude, ChatGPT, and Gemini directly — sharing customer data without oversight, without policy enforcement, and without an audit trail. Agent security is strong. Employee AI governance doesn’t exist.

Scenario 2: A multi-agent workflow spans three models and two external APIs. The agents themselves are monitored. But no governance layer spans the entire workflow — no unified policy enforcement, no cross-model audit trail, and no cost visibility across providers.

Scenario 3: A compliance audit requires evidence of AI governance across your entire organization — not just agentic systems. Agent-layer security produces meaningful data. But it doesn’t account for the 40% of AI usage happening outside the agent framework entirely.

For organizations where agent security is the primary priority, Zenity and Airia can work in tandem — with Zenity providing specialized depth on the agent security layer and Airia governing the broader AI ecosystem around it. For organizations looking for a single, unified AI control plane that includes agent security as part of comprehensive governance and orchestration, Airia provides end-to-end coverage.

Airia includes agent discovery, agent constraints, agent red teaming, responsible AI guardrails, runtime policy enforcement, and security posture management — alongside the multi-model orchestration, cost optimization, and compliance infrastructure that enterprise AI requires at scale.

Zenity secures the agent layer. Airia governs the entire AI ecosystem — agents included. CIOs and CISOs use Airia to maintain complete visibility and control over every AI tool, model, and agent running across their organization.

Schedule a demo with our team and start securing your entire AI ecosystem today.