# Prompt firewalls — Use case > Block jailbreaks, redact PII, detect injection, and enforce policy on every prompt and every completion — before either touches the model or the user. *AI teams · Safety · For AI teams* ## Inbound and outbound. Prompt and completion. Same firewall. Apinizer's AI Gateway applies policy on the way in and on the way out — jailbreak detection, PII redaction, injection scoring, regex denylists, and policy-driven blocks — without changing the application. [Request a demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs) --- ## The problem *The problem* ### LLM safety isn't a model property. It's a runtime property. Every model has a jailbreak; every prompt can carry PII; every completion can leak. The fix isn't waiting for a perfect model — it's putting a firewall in front of every model and a filter in front of every completion. Apinizer's AI Gateway does both: detect, redact, score, block, audit. Same plane as the API. --- ## Capabilities ### Jailbreak detection Pattern + classifier blends score every inbound prompt. Suspected jailbreaks block, get redirected to a hardened model, or trigger an alarm — your policy choice. ### PII redaction Names, IDs, account numbers, addresses — redacted before the prompt reaches the model and before the completion reaches the user. Configurable per locale. ### Injection scoring RAG-injection patterns and tool-poisoning attempts scored on the way in. Suspicious context blocked before it reaches the agent. ### Outbound content filters Block secrets, source code, internal hostnames, or anything else you don't want leaving the model. Filter applies before the response reaches the consumer. ### Policy as data Firewall rules ship as data, not code. Review in Git, apply via APIops, propagate to every Worker in seconds. ### Audit and explainability Every block and redaction captured with reason, score, and policy reference. Auditors and developers see the same explanation. --- ## Real-world examples ### Banking **Scenario:** Istanbul bank blocks account-number leaks in chatbot completions **Outcome:** Outbound filter detects 16-digit patterns adjacent to keywords. Blocked completions log an explanatory event; the user gets a safe fallback message. ### Healthcare **Scenario:** Munich hospital redacts patient identifiers before LLM ingest **Outcome:** Inbound redaction strips names, IDs, dates. The model summarizes; the completion is re-keyed back to the patient on the gateway side, never inside the model. **Metric:** 0 PHI to model ### Public sector **Scenario:** Paris agency scores jailbreak attempts in real time **Outcome:** 1.8% of citizen-chatbot prompts flagged jailbreak-suspicious. Half rerouted to a hardened model with a stricter system prompt; half blocked outright. ### Insurance **Scenario:** Madrid insurer detects RAG-injection in customer documents **Outcome:** Documents uploaded by customers occasionally carry 'ignore previous instructions' patterns. Scorer blocks the prompt; SOC reviews the document offline. ### Media **Scenario:** Milan publisher prevents source-code leaks in AI-assisted editor **Outcome:** Outbound filter blocks any response containing API keys or repo paths. Editorial productivity unchanged; risk posture significantly improved. ### Telecom **Scenario:** Amsterdam carrier enforces locale-specific PII rules **Outcome:** Each jurisdiction's national identifiers — tax IDs, citizen numbers, social-security formats — redacted with the right pattern in the right locale. Same firewall, different rules per region. ### Energy **Scenario:** Prague utility blocks tool-poisoning attempts on operations agents **Outcome:** An adversarial document tried to coerce an operations agent into changing SCADA parameters. Injection scorer caught it; the agent never saw it. ### Government **Scenario:** Caspian-region ministry runs prompt firewall in front of the national chatbot **Outcome:** Per-locale PII patterns, jailbreak rules, and outbound denylist tuned for the local language. The compliance officer signs the audit pack without changes. --- ## Recommended modules - [AI Gateway](https://apinizer.com/products/ai-gateway) — Prompt firewall built in — jailbreak detection, PII redaction, injection scoring, outbound filters. - [Analytics Engine](https://apinizer.com/products/analytics-engine) — Blocks and redactions appear in the same telemetry as cost and latency. - [Monitoring](https://apinizer.com/products/monitoring) — Severity-aware alarms when block rate spikes or new jailbreak patterns appear. - [Identity Manager](https://apinizer.com/products/identity-manager) — Tie firewall outcomes to consumer identity — repeat offenders revoked at the auth layer. --- ## Resources - [Prompt firewall overview](https://docs.apinizer.com/en) — Inbound and outbound rules, scoring blends, policy-as-data — how the firewall composes. - [AI Gateway](https://apinizer.com/products/ai-gateway) — The lane the firewall runs on — alongside routing, caching, and audit. - [Monitoring](https://apinizer.com/products/monitoring) — Anomaly detection on block rates and emerging patterns. - [APIops manifests](https://apinizer.com/developers/apiops) — Firewall rules ship as data, review in Git, apply idempotently. - [Compliance lane](https://apinizer.com/solutions/kvkk-gdpr-bddk-compliance) — How firewall outcomes feed KVKK / GDPR / BDDK evidence. - [Architecture overview](https://docs.apinizer.com/en/concepts/architecture) — Where the firewall sits in the AI lane. --- ## Related use cases - [MCP server governance](https://apinizer.com/solutions/mcp-server-governance) — For AI teams - [AI observability](https://apinizer.com/solutions/ai-observability) — For AI teams - [KVKK / GDPR / BDDK compliance](https://apinizer.com/solutions/kvkk-gdpr-bddk-compliance) — For executives - [Agent-to-Agent (A2A)](https://apinizer.com/solutions/agent-to-agent) — For AI teams --- ## Next step *Safety as a runtime property* **Block before the model. Filter before the user.** A 30-minute walkthrough — jailbreak, PII, injection, outbound filters — on a Kubernetes of your choice. [Book a Demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs) --- ## Links - Products: https://apinizer.com/products - AI Gateway: https://apinizer.com/products/ai-gateway - Solutions: https://apinizer.com/solutions - Pricing: https://apinizer.com/pricing - Developers: https://apinizer.com/developers - Documentation: https://docs.apinizer.com/index-en - Blog: https://apinizer.com/blog - Contact: https://apinizer.com/company/contact © 2026 Apinizer. All rights reserved.