Elastic: Closing the AI control gap: Governing autonomous agents on Microsoft Azure
Autonomous agents are showing up in production faster than most IT teams can govern them. Who approved an agent's last action? Can you trace a bad outcome back to the prompt that caused it? For enterprise IT, that's the new control gap.
Join the Elastic team to see how to get end-to-end telemetry, from prompt input to infrastructure metrics across Microsoft Foundry and Azure workloads, built on Elastic Agent's new native OpenTelemetry Collector foundation. We'll show a live demo handling automated incident triage on Azure, plus a preview of what we're showcasing at Microsoft AI Tour Cologne.
Designed specifically for EMEA enterprises, this session addresses how regional governance can balance rapid AI innovation with strict local compliance.
Highlights
- Agent governance as the control layer: Using observability to answer who did what, and why, when an autonomous agent acts without a human in the loop
- Governance on Azure: Building compliance guardrails into Microsoft Foundry to audit agent decisions and secure underlying vendor models
- Why the competition's per-host APM pricing breaks at agent scale: Why Elasticsearch is running 30x faster than Prometheus and up to 50% cheaper than others for the metrics volume AI workloads generate
- Demo of live agent monitoring: Automated root-cause triage on Azure, built on Elastic Agent Builder and Elastic Workflows
Additional resource
Elastic Observability - Logs, metrics, and traces (Free 7-Day Trial)