Prompt

Can you recommend a prompt filtering gateway for enforcing usage policies in a multilingual AI assistant?

Latest observation

Jul 20, 2026 · OpenAI APIWeb search: off

Yes — for a multilingual AI assistant, I’d recommend looking at a prompt filtering gateway that supports language-agnostic policy enforcement, moderation, and routing rather than one that relies only on English keyword rules.

Strong options

  1. Azure AI Content Safety + Azure AI Gateway / API Management

    • Good if you want enterprise controls, logging, and policy enforcement.
    • Supports multilingual safety detection better than simple keyword filters.
    • Easy to place in front of multiple model providers.
  2. Lakera Guard

    • Purpose-built for prompt injection, jailbreak detection, and policy filtering.
    • Designed to sit as a gateway in front of LLMs.
    • Works well for use cases where adversarial prompts are a concern.
  3. Cloudflare AI Gateway

    • Good for routing, observability, and policy enforcement at the edge.
    • Can be combined with custom moderation/classification logic.
    • Nice if you already use Cloudflare infrastructure.
  4. OpenAI Moderation API or equivalent moderation layer

    • Best used as one component, not the whole gateway.
    • Useful for classifying harmful content across languages, but you’ll usually still want a gateway for orchestration, logging, and rate limits.

What I’d choose

  • Enterprise multilingual compliance-focused setup: Azure AI Content Safety + API gateway
  • Security-focused assistant exposed to untrusted users: Lakera Guard
  • Infrastructure-first, multi-model routing: Cloudflare AI Gateway

What to look for

For multilingual usage policies, make sure the gateway supports:

  • Multilingual classification
  • Prompt injection / jailbreak detection
  • Input and output filtering
  • Policy-based routing
  • Audit logs and traceability
  • Custom rules for your specific policy categories
  • Low-latency integration

If you want, I can also give you:

  • a shortlist by budget,
  • a build-vs-buy recommendation, or
  • a reference architecture for putting a gateway in front of a multilingual assistant.

Observation history

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How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.