Splunk Blogs

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.

Discover how security leaders use AI coding assistants and tiered sandboxes to empower frontline analysts to prototype faster without production risk.

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.

Evaluating LLMs requires moving beyond general metrics to domain-specific, agentic, and adversarial benchmarks that reflect real-world performance.

Explore how the Vidar info-stealer uses virtualized code, anti-analysis tactics, and sandbox evasion to hide its activity. Learn how to identify and detect Vidar in your environment using actionable Splunk TTPs and analytics.