Observability, protection & red teaming — built for RAG and agentic applications. Stop hallucinations, PII leaks, and unsafe outputs before production.
Most teams stitch together separate tools — and critical failures slip through.
Shows what happened, but does not prevent it. Traces don't block harmful outputs.
Measure quality offline, but provide zero runtime protection for live agents.
Block narrow failure modes, but offer no release confidence or regression checks.
AgentGuard merges observability, protection, evaluation, and red teaming into one control layer.
No gaps. No costly production incidents.
From runtime protection to automated red teaming.
End-to-end traces, retrieval latency, tool usage, and model behavior — all integrated with OpenTelemetry, Langfuse, Grafana, and Jaeger.
Customer support, internal copilots, agentic systems — keep incidents customer-invisible.
Reduce hallucinated pricing, refund, or policy answers before they become customer-visible incidents.
Monitor retrieval quality, evaluate answer faithfulness, and reduce sensitive data exposure.
Trace tool usage, benchmark outcomes, catch costly action errors before production rollout.
Trusted by teams handling regulated, business-critical, or sensitive workflows.
AgentGuard is built for AI engineers, platform teams, and technical product owners who need operational control, not just experimentation.