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Splunk Agent Observability

Platform

by Splunk

Observability for somebody else's AI stack: Splunk traces a customer's own agents, the models they call, the vector databases behind them and the infrastructure underneath, and reports where the stack is failing.

Find alternatives to Splunk Agent Observability

What it does

• Evaluation and observability

Features 3

• TokenomicsTracks token usage and cost by request, model, agent and workflow.
• AI infrastructure telemetryTracks GPU and memory use, power and latency across models, vector databases and the AI stack.
• Luna evaluation modelsPurpose-built Luna models score and protect 100% of traffic at a fraction of a frontier judge's cost.

Sources

Pricing

Not found · 19 Sep 2026

Read 2026-09-19: the page states no rate, plan or allowance. Splunk's own pricing page sells workload and ingest packages for the platform and names no line item for this product.

Description

Official documentation · 19 Sep 2026

Splunk's own page description, read 2026-09-19: "Observe, improve, and trust your entire AI stack, from your AI agents, LLMs, and vector databases to your AI infrastructure -- with Splunk Agent Observability."

What it does

Official documentation · 19 Sep 2026

Tracing and reporting on a customer's AI agents in production is evaluation-observability; the page claims no other function.

Sold within

Not found · 19 Sep 2026

Splunk publishes no entitlement sentence for Agent Observability and names no parent on the page, so the access key is absent. It is the umbrella the three Observability Cloud records below sit under in Splunk's own A-Z index, but the index states no packaging.

Name

Official documentation · 19 Sep 2026

Page <h1> "Splunk Agent Observability" and <title> "Agent Observability | Splunk"; Splunk's A-Z product index lists it as "Agent Observability".

URL

Official documentation · 19 Sep 2026

The product's own page in Splunk's A-Z product index, read on 2026-09-19.

Deployment

Official documentation · 19 Sep 2026

Delivered through Splunk's hosted platform; the page names no self-hosted edition of its own.

Also from Splunk

• Splunk AI Assistant Platform

  Assistant inside Splunk Cloud Platform that turns plain-English questions into SPL, the query language Splunk searches machine data with, and explains existing searches back to an analyst.

• Splunk AI Toolkit Developer tool

  Platform for building, deploying and running agentic AI systems on Splunk data.

• Splunk Enterprise Security Application

  Integrated threat detection, investigation and response platform with agentic AI, SOAR, UEBA and SIEM unified into one SecOps experience.

• Splunk IT Service Intelligence Application

  AIOps and service-intelligence solution that uses AI-driven field discovery and AI-generated event correlation, summaries and root-cause guidance to connect IT events to business service health.

• Splunk Observability Cloud Application

  Observability platform where AI agents correlate signals across domains, propose remediation actions such as rollbacks or capacity changes, and provide dedicated agent/AI-system observability alongside infrastructure monitoring.

• AI SRE Application

  Splunk's site-reliability agent: an AI teammate for IT and SRE teams that troubleshoots an incident, finds the root cause and proposes the fix, working from the telemetry already in Splunk rather than from a human's search.

• Splunk Agent Launchpad Agent platform

  No-code builder and launcher for AI agents inside Splunk: security, IT and network teams create an agent and start it from the workflow where the signal appeared, rather than from a separate console.

• Agent Visibility Application

  The tracing half of Splunk's agent observability: one agent followed end to end from its own reasoning steps down to the GPU the run executed on, so a failure can be attributed to a layer rather than guessed at.

• Agent and Model Evaluation Application

  Production scoring for agent traffic: every interaction graded for correctness, safety and tool use rather than a sample of them, with the evaluations built for agents instead of adapted from model benchmarks.

• Runtime AI Guardrails Application

  Splunk's enforcement layer for agents: a guardrail built from a customer's own evaluations blocks an unsafe agent action before the tool call executes, and logs every allow-or-block decision for audit.

• Detection Studio Developer tool

  The authoring environment for Splunk Enterprise Security's detections: a detection engineer plans, develops, tests, deploys and then monitors a detection in one place, instead of moving it between a notebook, a ticket and production.

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