Splunk Blogs

How to evaluate AI agents for manipulation, deception and adversarial risk — where persuasion evals went, why prompt injection became the dominant threat, and what to measure.

AI budget decisions are moving toward consumption and outcome metrics.

Turn Opportunity Zone reporting into actionable insights.

Splunk Enterprise Security 8.6 adds Agentic SOC capabilities to help teams triage, investigate, build detections, automate response, and govern AI-assisted work.

Eval engineering is the emerging practice of building systems that proactively govern AI behavior at scale. Learn about the topic here.

Enhance AI observability and security with LLM Gateways.

The eval engineering lifecycle is a framework for standing up and harnessing evals for AI governance at scale. Learn how and when to implement the lifecycle.

The organizations with the most operational data often have the least ability to act on it

Multi-agent systems face exponential coordination costs. This guide outlines common production failure modes and the architectural principles required to build reliable, scalable agent swarms.