ZeroTrusted.ai
AI Firewall

Intelligent Threat Prevention for LLMs, Agents, and APIs

Inline AI firewall that inspects every prompt, response, and tool call. Blocks prompt injection, jailbreaks, data exfiltration, hallucinations, toxicity, and unauthorized tool use — with sub-millisecond latency impact.

See AI Firewall in Action

Real-time file sanitization

File Sanitization in the ZeroTrusted.ai dashboard — redact PII, PHI, classified markings, and secrets from uploads and prompts before they reach any model. Supports English, Japanese, Spanish, Portuguese, and more.

File Sanitization dashboard in ZeroTrusted.ai — processing Japanese and English files

Built for agentic AI, not just chatbots

AI Firewall sits between your users and every model — whether that's ChatGPT, Claude, Gemini, a self-hosted LLM, or an internal agent framework. Policies inspect every prompt, response, and tool call in real time.

Prompt & response inspection

Every prompt and every model response passes through a policy DSL. Detect prompt injection, jailbreaks, and unauthorized instructions before they reach the model or your user.

Inline data loss prevention

PII, PHI, secrets, classified markings, and custom-sensitivity tokens are redacted or blocked before a prompt ever leaves your perimeter.

Tool-use & function-call governance

Allow-list the tools an agent can invoke. Inspect arguments, enforce argument types, and revoke tool access the moment a policy violation fires.

Sub-millisecond latency

Inline or out-of-band deployment patterns. Inline adds under a millisecond to most inference paths; out-of-band captures telemetry with zero user impact.

DDoS & API protection

Rate-limit, throttle, and isolate abusive callers at the AI API layer. Adaptive rules tune themselves against live traffic patterns.

Adversarial ML defense

Detect model-inversion, membership-inference, and poisoning attempts across both provider APIs and self-hosted models.

Key Capabilities

Prompt injection and jailbreak detection
Output filtering: hallucination, toxicity, and brand-safety guardrails
Inline PII, PHI, classified-marking, and secret redaction
Tool-use and function-call governance with allow-lists
Adversarial ML defense (model inversion, membership inference, poisoning)
Policy-DSL authoring with pre-built templates
Sub-millisecond latency impact; inline or out-of-band deployment
Zero-day LLM threat detection via behavioral analytics
DDoS mitigation and API endpoint protection
Adaptive rule generation from live traffic patterns

Deploy where it fits

Three operational modes — pick one per application or combine them across your AI portfolio.

Inline proxy

Terminates AI API traffic for prompt/response inspection. Ideal for production-path enforcement with hard-block policies.

Out-of-band

Mirrors traffic for detection-only workflows and A/B policy tuning. Zero latency impact on the production path.

Browser / edge

Combines with Shadow AI Protection to enforce at the user's edge — for unmanaged AI endpoints and shadow AI usage.

Ready to deploy AI Firewall?

See how AI Firewall integrates with your existing security stack. Schedule a personalized demo today.