The trust layer
between your apps
and every model
SentinelGate is a runtime gateway that enforces policy, protects sensitive data, and generates audit-ready evidence for every AI interaction in production.
Inline Policy Enforcement
Inspect and act on prompts, RAG context, tool calls, and outputs in real time. Allow, block, redact, mask, or quarantine based on tenant-aware policy profiles.
AI Attack Prevention
Detect prompt injection, jailbreaks, system prompt extraction, data exfiltration attempts, and unsafe tool-call patterns before they reach your models.
Structured Audit Evidence
Every interaction generates a structured event: request ID, tenant, model, policy version, detections, actions taken, and hashes. Export audit bundles and evidence packs.
Data Minimization Controls
PII detection, secrets scanning, configurable sensitive-data classes, redaction before inference, retention controls by tenant and region.
Policy profiles for every AI use case:
Enforcement modes that match your risk tolerance:
SaaS Gateway
Put SentinelGate in front of any LLM provider. One line of config, instant protection.
Self-Hosted / Sovereign
On-prem deployment for government and regulated environments. Your data never leaves your infrastructure.
SDK / Sidecar
Application-side governance before traffic reaches any shared endpoint. Embed trust at the source.
Every AI interaction. Governed, logged, and explainable.
SentinelGate gives your security team the control and evidence they need to say yes to AI in production. Not explainable in the "model reasoning" sense, but in the operational sense: who called what, with which policy, what was detected, what was blocked, and what evidence was preserved.