Guardrails AI vs Agent Action Firewall
Guardrails AI validates your LLM outputs. Agent Action Firewall controls what your agents can actually do. Together, they create a complete safety layer for agentic AI.
Validation vs Enforcement
Guardrails AI is fantastic for ensuring LLM outputs meet your schema and quality requirements. But validation alone doesn't stop an agent from taking dangerous actions.
Guardrails AI
“Is this output valid?”
- • Schema validation (Pydantic)
- • Output quality checks
- • Retry logic for failures
- • Open source (Apache 2.0)
Agent Action Firewall
“Should this action run?”
- • Policy-based action control
- • Human approval workflows
- • Cryptographic audit trails
- • Enterprise SaaS
Feature Comparison
| Capability | Guardrails AI | Agent Action Firewall |
|---|---|---|
| Output schema validation | Core feature | - |
| Pydantic integration | Core feature | - |
| Retry/reask logic | Core feature | - |
| Open source | Apache 2.0 | - |
| Action-Level Security | ||
| Policy engine (OPA/Rego) | - | Core feature |
| Human approval workflows | - | Core feature |
| Hash-chained audit trails | - | Core feature |
| Proof Packs (compliance export) | - | Core feature |
| Usage limits & quotas | - | Core feature |
Better Together
The best agent architectures use both validation AND enforcement:
Example: Database Agent
Guardrails: Ensures SQL query is valid syntax
AAF: Blocks DROP TABLE, requires approval for DELETE
Example: API Agent
Guardrails: Validates request payload schema
AAF: Enforces rate limits, logs all API calls
Pricing
Guardrails AI
Free
Open source (Apache 2.0). Guardrails Hub for validators.
Agent Action Firewall
From $49/month
Starter tier. Free tier available (500 actions/month).
Add Enforcement to Your Guardrails
Already using Guardrails AI? Add Agent Action Firewall for policy enforcement and audit trails.