Enforce AI Policy at Runtime | AI Gateway Guardrails — AgentsFlow
Overview Capabilities How It Works
ENFORCE

Turn Policies Into Runtime Controls

Automatically translate policies into runtime controls across any AI gateway or model-serving layer — no prompt engineering required.

✓ Policy translation engine
✓ AI gateway integrations
✓ Guardrails, filters and safety controls
✓ Model routing and access policies
✓ Data loss prevention and masking
✓ Human-in-the-loop enforcement
✓ Consistent policy across environments
Gateways Connected
23
Policies Deployed
156
Policy Success Rate
98.7%
Avg Enforcement Time
24ms
BUSINESS POLICY
⛔ No PII in prompts
⛔ Block unsafe content
⚠ Require human review for high-risk actions
CONNECTED GATEWAYS
Azure AI Gateway
AWS Bedrock
Google Vertex AI
Portkey
Kong
LiteLLM
Custom Gateways

Enforcement Capabilities

No-Code Policy Authoring
Write a policy once in plain language, deploy everywhere.
Real-Time Inspection
Inspect prompts and responses inline before they reach a model.
PII & Secrets Redaction
Automatically mask sensitive data before it leaves your walls.
Model Allow-Lists
Control exactly which models and versions can be called.
Human-in-the-Loop
Escalate high-risk actions for human review before execution.
Multi-Gateway Sync
Push one policy consistently across every gateway you run.

How Enforce Works

1
Author
Write a policy once in plain language.
2
Translate
AgentsFlow compiles it into gateway-native rules.
3
Enforce
Controls run inline on every request across every gateway.
4
Verify
Enforcement evidence flows back for audit.

Turn every policy into a live control

Deploy guardrails across every gateway and model without slowing teams down.

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