AI Sentinel

AirGap Labs + Onnex AI Sentinel

As AI agents and LLM-powered applications become core to business operations, they introduce a new and largely unguarded attack surface. AI-Sentinel addresses this head-on as an inline security sidecar that sits between your application and your model, inspecting every request and response in real time. Built across 9 sequential security layers — from input normalization and prompt injection detection to tool RBAC, exfiltration blocking, and tamper-evident audit chain — AI-Sentinel delivers 100% MITRE ATLAS coverage with an average latency under 20ms. Unlike async scanners that log after the breach, AI-Sentinel is fully inline: if it hasn't responded, your model hasn't seen the payload. It is model-agnostic, supports OpenAI, Anthropic Claude, Mistral, and any custom LLM deployment, and deploys as a single binary or Docker sidecar with no SDK changes required.

Try AI Sentinel for 7 days at no cost

See every threat. Stop it before it reaches the model.

AI-Sentinel sits between your users and your LLM, running every request and response through an 11-layer protection pipeline in real time. Select an OWASP LLM Top 10 scenario below to watch it work.

User → LLM

System: You are a helpful business assistant.

Select a scenario

AI-Sentinel Protection Pipeline

Ingress ↓

Pass

Flagged

Masked

Blocked

🛡️ Select an OWASP LLM scenario to watch AI-Sentinel scan it in real time.

Every MITRE ATLAS technique, mapped to a runtime control.

Pick an adversarial technique from the MITRE ATLAS matrix and watch how AI-Sentinel handles it across its 11-layer pipeline. Techniques that occur outside the inference path are shown honestly as out-of-band controls.

Adversary → AI System