Webinar Description
Key Takeaways
- Addresses the governance and auditability challenges of autonomous AI agents operating in enterprise cloud environments
- Demonstrates end-to-end observability using OpenTelemetry Collector integration for AI workloads on Microsoft Azure
- Explores compliance requirements for EMEA organisations deploying AI agents at scale
- Includes live demonstration of automated incident triage capabilities
- Designed for enterprise IT leaders, cloud architects, security professionals and DevOps teams
Governing AI Agents in an Era of Autonomous Operations
As enterprises accelerate their deployment of autonomous AI agents, a significant operational challenge has emerged: maintaining visibility and control over systems designed to operate independently. This virtual webinar, hosted by Elastic, examines the growing disconnect between the pace of AI agent deployment and the governance frameworks needed to manage them effectively. The session is particularly relevant for EMEA organisations navigating the intersection of rapid AI adoption and stringent regional compliance requirements.
The proliferation of autonomous agents in production environments has outpaced traditional monitoring and governance approaches. When AI systems make decisions and take actions without human intervention, IT teams face fundamental questions about traceability, auditability and accountability. This governance gap represents both a technical and regulatory challenge that demands new approaches to observability.
About This Event
Closing the AI Control Gap: Governing Autonomous Agents on Microsoft Azure is a virtual webinar that combines technical demonstration with strategic discussion. The session showcases how observability solutions built on OpenTelemetry Collector foundations can provide comprehensive visibility across AI workloads, from initial prompt input through to infrastructure-level metrics. Attendees will see a live demonstration of automated incident triage running on Microsoft Azure, illustrating practical applications of these governance principles.
The event also previews content from Elastic’s participation in the Microsoft AI Tour Cologne, offering insight into the broader ecosystem of tools and integrations available for enterprise AI governance.
The Agent Governance Challenge
Traditional observability tools were designed for human-initiated processes with predictable execution paths. Autonomous agents operate differently, making chains of decisions and executing actions that may be difficult to trace retrospectively. This creates what practitioners describe as a control gap—the distance between what AI systems are doing and what organisations can actually verify and audit.
For enterprises subject to regulatory oversight, this gap presents compliance risks. Auditors and regulators increasingly expect organisations to demonstrate not just what decisions were made, but how AI systems arrived at those decisions. Without end-to-end telemetry capturing the full lifecycle of agent actions, meeting these requirements becomes problematic.
The session addresses how OpenTelemetry-based approaches can bridge this gap by providing standardised, comprehensive data collection across the entire AI stack. This includes integration with Microsoft Foundry and Azure services, enabling unified visibility across cloud-native AI deployments.
Observability at AI Scale
AI workloads generate telemetry data at volumes that challenge conventional monitoring infrastructure. The webinar examines performance and cost considerations when implementing observability for autonomous agents, including comparisons between different approaches to metrics collection and analysis. As organisations scale their AI deployments, the economics of observability become increasingly significant to overall operational costs.
The technical discussion covers Elastic Agent Builder and Elastic Workflows as components of a governance architecture, demonstrating how these tools integrate with existing Azure infrastructure to provide automated incident triage and root-cause analysis capabilities.
Who Should Attend
This webinar is designed for enterprise technology leaders responsible for AI deployment and governance. Cloud solutions architects evaluating observability strategies for AI workloads will find practical technical content, while security and compliance officers can assess how these approaches address regulatory requirements. DevOps and site reliability engineering teams working with autonomous agents in production will benefit from the operational focus on incident triage and monitoring.
The EMEA regional focus makes the session particularly relevant for organisations operating under European data protection and AI governance frameworks, where compliance requirements often exceed those in other jurisdictions.