Splunk Blogs

How Splunk connects runtime and security context for faster response.

Understand the tradeoffs between LLMs and humans for generative AI evaluation

LLM judge vs SLM judge: an SLM costs 10-30x less and runs in 15-150ms, making 100% coverage affordable. See where each wins and when to make the switch.

Evaluate multi-agent AI systems using benchmarks that prioritize coordination, reliability, and policy adherence over simple accuracy scores to ensure production readiness.

How to build an SLM judge: See how to size the model, fine-tune with LoRA, validate it, and serve it in production.

Observability Studio lets developers test and validate tracking data in real time during development, catching problems before they reach production.

We’re heading to Denver for four days of learning, connection, and hands-on exploration with the Splunk community.

A CISO-focused strategic perspective on building trust, accountability, and speed into the Agentic SOC

Explore a detailed step-by-step process on effectively evaluating AI systems to boost their potential.