WEBINAR

Agentic AI Observability Webinar Series​

Agentic AI is creating new challenges for IT, engineering, security and platform teams. Traditional monitoring can show that systems are available, but it often cannot explain why AI agents deliver slow, incorrect or unsafe outcomes.

Join this three-part webinar series to explore how Splunk Agent Observability, powered by Galileo, helps organizations understand, evaluate and protect AI agents in production. From troubleshooting multi-agent workflows to continuously assessing AI quality and implementing runtime protections, each session provides practical guidance for building reliable, secure and trustworthy AI systems.

In this webinar series, discover how to:

• Trace interactions across agents, models, prompts, tools and dependencies
• Diagnose latency, failures and bottlenecks in multi-agent workflows
• Continuously evaluate AI quality, relevance, groundedness and safety
• Detect hallucinations, prompt injection attacks and policy violations
• Turn evaluation insights into real-time runtime protections
• Protect sensitive data and reduce AI-related risk
• Establish a foundation for responsible and scalable AI operations

Webinar Schedule

Thursday, October 29, 2026
When the Agent Fails: Seeing Inside Multi-Agent Systems
Learn why traditional APM is no longer enough for agentic AI and how interaction-centric observability helps uncover hidden failures across models, tools and agent workflows.

Thursday, November 26, 2026
Is the Agent Right? Continuous Evaluation for AI Quality
Explore how continuous evaluation measures agent quality, reasoning, tool selection and business outcomes using scalable evaluation frameworks.

Thursday, December 10, 2026
Stop Bad Behaviour Before It Reaches Users
Discover how organizations can apply runtime guardrails to detect and prevent hallucinations, prompt injection attacks and policy violations before they impact users.

Register now to gain practical strategies for improving AI reliability, strengthening AI safeguards and operating AI agents with confidence in production environments.

Our Speakers