Turning machine data into action, strengthening resilience, and building for the agentic era. That's the impact of the innovations announced at #splunkconf26.
Check out the highlights. 👇
Your AI agent has gone rogue. Your application dashboard looks healthy. Cool. 🫠
Katie Brown, Director of Platform Security, demos how teams can detect, investigate and stop attacks targeting AI agents at machine speed.
Learn more: splk.it/4sJifMk
AI is only as smart as the data behind it. 👀
Our Machine Data Outlook research revealed a whopping 71% of tech leaders worry fragmented machine data could lead to misleading AI recommendations.
Mangesh Pimpalkhare breaks down why context matters: splk.it/3WFpN6y
AI agents are great at getting things done. They're also great at burning through tokens. 👀
So how do you scale agentic AI without losing sight of the economics?
Our Hao Yang shares six pillars of a practical tokenomics playbook on @DigiconAsia: splk.it/4f5Sm3p
AI agents work independently. Their costs? Not so predictable. 👀
@techradar highlights our State of Observability 2026 report: 55% of organizations struggle to control AI costs as agentic AI adoption grows.
Get the insights: splk.it/4kjGWMY