Guardrails AIFree
An open-source framework for validating and correcting LLM outputs against defined rules, with a hub of reusable validators.
AI Governance comparison
Guardrails AI vs Zenity
Pricing, pros, cons, and ideal use cases — side by side.
ZenityEnterprise
Security posture management and runtime defense for AI agents — discovers what agents exist, what they can reach, and stops them at the point of action.
At a glance
| Guardrails AI | Zenity | |
|---|---|---|
| Pricing | FreeOpen-source library only (Apache-2.0). The hosted Guardrails Server and remote validator inference were discontinued on 2026-08-25, and no commercial hosted product is sold. As read on the project's GitHub README in early October 2026. | EnterpriseNot published — enterprise sales. Scoping is typically driven by the number of agents and connected resources discovered during assessment. |
| Category | AI Governance | AI Governance |
| Ideal for | Teams enforcing structure and safety on LLM outputsEngineering orgs adding output validation in codeEnterprises building a layered guardrail strategy | Security leaders governing enterprise agent deploymentsOrganizations with citizen-built agents in Copilot Studio or AgentforceRegulated industries deploying agents on customer dataCISOs building an AI security posture program |
Pros & cons
Guardrails AI
Pros
- Programmable validation of LLM outputs
- Reusable validators via the Guardrails Hub
- Can re-ask the model to correct failures
- Open-source and framework-agnostic
Cons
- Validators reduce risk but do not eliminate it
- Checks add latency and need their own testing
- Only one layer of a full safety strategy
Zenity
Pros
- Discovers shadow agents traditional security tooling cannot see
- Evaluates agent intent and execution path, not isolated alerts
- Covers external, internal, and autonomous attack vectors
- Runtime enforcement, not just posture reporting
Cons
- No public pricing
- Premature below meaningful agent sprawl — a handful of agents does not justify it
- Adds another control plane for security teams to operate
- Coverage depends on which platforms it can integrate with
Which should you choose?
Guardrails AI is the lighter-weight option (Free), while Zenity sits higher on the pricing ladder (Enterprise). Guardrails AI is built around teams enforcing structure and safety on llm outputs; Zenity leans more toward security leaders governing enterprise agent deployments. Shortlist the one whose strengths line up with your biggest constraint.
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