Compare · Guardrails AI

TapPass vs Guardrails AI.

Guardrails AI is a Python library for validating LLM outputs. TapPass is a governance control plane that sits between your agents and the LLM with no code changes required.

EU hostedWorks with the models and tools you already run
Detection alone
flags a prompt
authority layer
TapPass
decides · enforces · records
What an auditor asks for
who allowed iton the record
Detecting a bad prompt and being able to prove what an agent was allowed to do are different jobs.
Side by side

TapPass vs Guardrails AI

CapabilityTapPassGuardrails AI
Output validation✓ Output scanning + DLP✓ Validators (type, format, content)
Structured output enforcement◐ Via output constraints✓ RAIL spec, Pydantic models
Input scanning✓ PII, injection, secrets, classification◐ Custom validators (manual)
Prompt injection defence✓ Multi-layer + indirect + tool✗ Not available
Data classification✓ Multi-level with LLM-assisted classification✗ Not available
Tamper-evident audit trail✓ Cryptographically chained✗ Not available
Tool / function call governance✓ Permissions, scanning, zones✗ Not available
Human approval gates✓ Real-time workflows✗ Not available
Behavioural drift detection✓ Statistical anomaly detection✗ Not available
Cost tracking✓ Per-agent enforcement✗ Not available
EU AI Act compliance✓ Art. 9, 12, 13, 14✗ Not available
Architecture✓ External control plane◐ In-process library
Open source◐ SDK is Apache 2.0✓ Open source library
The difference

Library vs. control plane

Guardrails AI: in-code library

A Python library inside your app. Great for structured outputs. But no external audit trail, no centralised policy, no cross-agent governance.

TapPass: external control plane

An API gateway between agents and LLMs. Centralised policy, centralised audit, centralised compliance. One governance layer for all agents.

Many agents, one pipeline

With Guardrails AI, each app manages its own validation. With TapPass, one pipeline governs all agents with one audit trail, one dashboard.

The point

Output validation is step one. Governance is the full journey.

This comparison is about scope, not quality. Detection tools do detection well. TapPass is the layer that decides what an agent may do, holds the calls that need a person, and leaves a record you can hand to an auditor. If you already run Guardrails AI, TapPass sits in front of it rather than replacing it.

Ready when you are

See TapPass on your own agents.

Watch first, enforce when you’re ready — live in your EU region in two weeks, on the stack you already run.

No credit card · EU-hosted · works with your MCP, models & gateway
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