Policy Gateway vs Azure AI Content Safety
Granular control vs binary filtering.
Azure AI Content Safety provides binary allow/block decisions. Policy Gateway gives you rewrite, redact, escalate, and refuse actions with structured reason codes, shadow mode testing, and safe rollouts.
Feature Comparison
| Capability | Azure AI Content Safety | Policy Gateway |
|---|---|---|
| Decision types | Allow / Block | Allow / Rewrite / Redact / Escalate / Refuse |
| Reason codes | Category scores only | Structured codes for audit trails |
| Policy-as-code | Limited (threshold config) | Full rule engine with JSON/YAML |
| Shadow mode | Not available | Log decisions without enforcing |
| Canary rollouts | Not available | Enforce on % of traffic |
| Per-user quotas | Not available | Monthly limits by user/project |
| Audit log export | Azure Monitor only | Splunk, Datadog, Elastic, S3, Azure Monitor |
| Model | Azure OpenAI only | abliterated-model with enterprise-controlled safety |
Choose Azure AI Content Safety when
- You only need binary allow/block decisions
- Your entire stack is Azure-native
- You want Microsoft-managed category definitions
- Compliance requires a first-party Azure service
Choose Policy Gateway when
- You need rewrite, redact, or escalate actions
- Teams want structured reason codes for audits
- You need shadow mode testing before enforcement
- You want full control over AI safety, not provider defaults
- Security teams need SIEM integration beyond Azure
Or switch to full control
Policy Gateway with abliterated-model gives enterprises complete ownership of AI safety — no opaque upstream filters to work around. Define exactly what's allowed and refused.
- 1abliterated-modelresponds without built-in refusals, giving your team full model capability.
- 2Policy Gatewayapplies your business rules, quotas, and audit logging on every request.
- 3Security teamsget full visibility and control over AI safety — export logs to Splunk, Datadog, or S3.
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Frequently asked questions.
What is the difference between Policy Gateway and Azure AI Content Safety?
Azure AI Content Safety is an additive filter layer on top of models that are already heavily censored. Policy Gateway gives you full control over the safety system itself, letting you replace provider-imposed refusals with your own business-specific rules.
Does Policy Gateway replace Azure AI Content Safety?
They serve different purposes. Azure AI Content Safety enforces Microsoft's safety standards. Policy Gateway enables you to enforce *your* standards, giving you the final say on what content is appropriate for your users.