AI teams · Safety

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.

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Prompt firewalls — For AI teams use case overview from Apinizer. — For AI teams · Prompt firewalls

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

What Apinizer does here

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.

Use cases

In production, this looks like…

Banking
Istanbul bank blocks account-number leaks in chatbot completions
Outbound filter detects 16-digit patterns adjacent to keywords. Blocked completions log an explanatory event; the user gets a safe fallback message.
Healthcare
Munich hospital redacts patient identifiers before LLM ingest
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.
0 PHI to model
Public sector
Paris agency scores jailbreak attempts in real time
1.8% of citizen-chatbot prompts flagged jailbreak-suspicious. Half rerouted to a hardened model with a stricter system prompt; half blocked outright.
Insurance
Madrid insurer detects RAG-injection in customer documents
Documents uploaded by customers occasionally carry 'ignore previous instructions' patterns. Scorer blocks the prompt; SOC reviews the document offline.
Media
Milan publisher prevents source-code leaks in AI-assisted editor
Outbound filter blocks any response containing API keys or repo paths. Editorial productivity unchanged; risk posture significantly improved.
Telecom
Amsterdam carrier enforces locale-specific PII rules
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
Prague utility blocks tool-poisoning attempts on operations agents
An adversarial document tried to coerce an operations agent into changing SCADA parameters. Injection scorer caught it; the agent never saw it.
Government
Caspian-region ministry runs prompt firewall in front of the national chatbot
Per-locale PII patterns, jailbreak rules, and outbound denylist tuned for the local language. The compliance officer signs the audit pack without changes.