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Observability & Audit

"Govern, Secure and Control every AI Action"

AI Gateway
Runtime Guardrails & PII
RAG Security
Agentic Security
MCP Gateway
Hallucination Defense
Observability & Audit
Cost Optimization
Governance

Full agent visibility and tamper-evident audit – zero data egress.

See every token, trace, and verdict without your data leaving the boundary

You can’t govern what you can’t see – but most observability tools terminate your traces in their cloud. DeepintShield turns its inline security hot path into a full observability plane: every request, token, dollar, agent run, tool call, and policy verdict is captured as metrics, traces, and a tamper-evident audit log, all in your own Storage.

Key Features

Per-run Agent Traces

One timeline correlates LLM calls, tool calls (with verdict), guardrails, and obligations, so you see exactly what an agent did.

Tamper-evident Audit

A hash-chained audit log on every decision, with an offline integrity verifier and fail-closed durable modes.

Metrics Everywhere

Prometheus /metrics , Pushgateway, OTLP push, and tripleformat OpenTelemetry export (genai_extension, Vercel, OpenInference).

Langfuse

Push redacted traces to an in-cluster self-hosted Langfuse, or fan out to any OTLP backend (Tempo, Honeycomb, Datadog).

Server-side Analytics

KPI tiles, latency percentiles, top-N, and an agent-to-tool service graph computed.

Federated fleet view

Counts-only, content-never-leaves dashboards across regional data planes.
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agentic AI observability, LLM gateway tracing, self-hosted Langfuse, OpenTelemetry LLM traces, hash-chained audit trail, tamper-evident AI audit log

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