Splunk Blogs

Splunk is engineered to ingest and correlate structured, semi-structured, and unstructured data, enabling agencies to detect suspicious activity earlier and respond with greater confidence.

Evaluate AI agent performance on tool calling and planning by prioritizing consistency metrics, multi-turn state handling, and domain-specific assertions over public benchmark scores

See how Call Graph Profiling in Splunk APM connects trace latency to method-level execution, helping operations and development teams find and fix slow code faster.

An agent fleet can produce an invoice down to the penny without showing whether the spend bought useful work

AI makes software faster and cheaper to build, but not to operate. Learn how leaders can manage the security, telemetry, governance, and infrastructure costs.

AI-Powered Data Management helps teams turn raw, changing machine data into trusted, usable signals faster.

Join Splunk at .conf26 to sharpen skills, hear first-hand customer stories, and explore the latest innovations.

This blog post covers security content developed May 2026 – July 2026

Use these four key metrics—Context Relevance, Chunk Relevance, Context Adherence, and Completeness—to diagnose whether your RAG system is failing at retrieval or generation.